Unleash Live: Industry Perspectives

Mining's Data Credibility Problem Is Getting Worse

getstarted@unleashlive.com (Unleash Live) — Sun, 19 Jul 2026 00:00:00 GMT

There is a finding buried in MAINSTREAM’S 2026 State of Asset Management Report that deserves more attention than it will likely receive.

Engineers across Australian industrial operations were asked to rate the reliability of their own asset data. The average score was 5.8 out of 10. Not a finding from a struggling outlier. An average, drawn from 715 survey respondents and 153 senior practitioners across twelve facilitated roundtable sessions representing the most rigorous longitudinal study of asset management practice in this region.

That number carries weight. These are the same organisations investing in predictive analytics, computer vision pilots, and condition monitoring programs. They are collecting more data than ever before. And the people closest to the operational outcomes do not trust it enough to act on it.

This is the problem we wrote about in The Monitoring Gap Costing Mining Operations More Than You Realise. The 2026 report confirms it is structural, not incidental, and that it is getting harder to manage.

The gap between collecting data and acting on it is where operational risk lives.

The Data Volume Trap

The report is precise on this point. Thirty-six per cent of organisations collect more maintenance data than they can effectively analyse. The average site operates between 8 and 12 disconnected systems containing critical asset information. Only 26 per cent achieve meaningful integration across those systems.

The result is what the report calls a parallel information economy: official records are incomplete and the operational knowledge that actually drives decisions lives in people's heads.

For mining operations, the consequences are not abstract. Maintenance professionals spend an average of 14.6 hours per week searching for, validating, or reconciling data across multiple systems. That is 38 per cent of available work time spent on data administration rather than decisions. At the same time, mean time to repair across Australian industrial operations has increased from 49 to 81 minutes, driven in part by skills gaps but compounded by the time required to locate and verify information before acting on it.

More data has not produced faster, better-informed responses. It has produced more noise, more reconciliation burden, and a workforce increasingly conditioned to distrust the outputs of the systems they are required to use.

76% of computer vision projects fail to deliver expected returns, and only 11% scale beyond pilot stage.

The AI Failure Pattern Confirms the Root Cause

The report's findings on AI adoption are instructive precisely because they are so consistent with what the data fragmentation findings would predict.

Seventy-six per cent of AI projects fail to achieve expected returns. Only eleven per cent of organisations have scaled beyond pilot stage. The primary barrier is not capability or intent. The report is specific: leadership ambition scores 3.34 out of 5, while workforce AI readiness scores 2.69. The gap is real but not the root issue. The root issue is data.

Pilots work because they operate in controlled environments with dedicated resources and clean inputs. The moment they attempt to scale across operational systems with distributed data quality and inconsistent capture standards, the conditions that made the pilot succeed evaporate.

For mining, this has a concrete financial implication. One iron ore operation cited $2 million per hour in lost revenue during downtime. The organisations in the report with the highest rates of AI pilot failure were not technology-averse. They were data-immature. They invested in analytical capability before they had the data foundations to support it.

This is a familiar pattern in the monitoring gap. The argument for continuous site monitoring has never been purely about sensors and cameras. It is about whether the visual data those assets generate enters a governed, structured intelligence layer, or accumulates in disconnected repositories that engineers do not trust and executives cannot interrogate.

Skills shortage intensity has nearly doubled since 2021, and the pipeline of replacements isn't keeping pace.

The Workforce Pressure Compounds the Problem

The report identifies a workforce transition that directly intersects with the data credibility challenge.

Twenty-five thousand engineers are projected to retire within five years. Mining skills shortage intensity has risen from 34 per cent to 63 per cent since 2021. Apprentice completions have fallen from 485,440 in 2012 to 267,385 in 2024. The knowledge most at risk, the report is explicit on this, is contextual judgement. The engineer who knows what a healthy bearing sounds like. The planner who remembers why a particular supplier's specification failed under specific site conditions fifteen years ago.

That knowledge cannot be documented in a procedure manual. And it cannot be replaced by analytics systems running on fragmented, low-trust data.

What the report describes as the transition from people to systems is only viable if those systems are built on data that can be governed, standardised, and relied upon independent of any individual's institutional knowledge. Where that foundation is absent, the departure of experienced personnel does not just create a skills gap. It creates a capability cliff, because the judgement that compensated for poor data quality leaves with the person.

For mining operations managing sites across multiple geographies, with contractor-dependent workforces and increasing pressure on inspection compliance, this is a critical structural exposure.

What the Report Validates

The MAINSTREAM report was not written with Unleash live's positioning in mind. It was written by practitioners for practitioners, drawing on three decades of longitudinal research. That is precisely why its findings carry commercial weight.

The data trust deficit, system fragmentation, AI pilot failure rate, and workforce knowledge erosion it documents all point to the same structural gap. These organisations are not short of visual data. They are short of governed, trustworthy, actionable intelligence from it.

Capture without governed processing produces archives, not intelligence. Detection without standardised data quality produces alerts that engineers learn to ignore. Analytics without a structured foundation produces pilots that cannot scale.

The 2026 report also confirms a finding that applies directly to how mining operations should be evaluating their monitoring infrastructure. The organisations that are advancing furthest in AI adoption and data capability are not those that invested first in analytical tools. They are those that invested first in data governance, standardised capture, and integration architecture. The analytics followed, because the foundation was there to support it.

80% of shutdowns exceed budget, and only 32% are delivered against plan.

The Compounding Risk of Inaction

Shutdowns and turnarounds consume between 25 and 60 per cent of annual maintenance budgets across the operations surveyed. 80 per cent exceed their budget by at least 10 per cent. Only 32 per cent are successfully implemented against their plan.

The report attributes this to scope creep, planning failures, and poor contractor management. But running beneath all three is a data problem: conditions that should have been detected earlier were not, because the monitoring architecture between scheduled inspection cycles was absent or inconsistent.

The cost of a single unplanned stoppage on a major mining operation, measured against the operational cost of continuous monitoring infrastructure across a site portfolio, is not a close calculation. It has not been a close calculation for some time. What has changed is that the 2026 report now provides independent validation, from 715 respondents and 153 senior practitioners, that the data credibility and governance gap is the binding constraint on operational performance improvement across the sector.

The monitoring gap is not a technology problem waiting for a technology solution. It is a data governance problem that requires a standardized architecture for how visual data is captured, processed, stored, and acted upon, at scale, across sites.

Request an Operational Benchmark Review to assess your current monitoring coverage, data governance posture, and production uptime exposure across your site portfolio.\\

Unpacking what NVIDIA GTC 2026 Means for Infrastructure Operators

getstarted@unleashlive.com (Unleash Live) — Tue, 31 Mar 2026 00:00:00 GMT

When Unleash live announced our deep integration with NVIDIA L4 Tensor Core GPUs and Vision Language Models, the response confirmed something we already understood operationally: the infrastructure sector is not waiting for physical AI to arrive. It is working out how to govern and deploy it at scale.

We want to revisit that announcement, not to repeat a press cycle, but because the signals from NVIDIA's trajectory deserve a more deliberate commercial read. There are lessons here for every infrastructure operator managing visual data across distributed sites.

What NVIDIA Is Actually Building

NVIDIA is not just a chip company. It is rapidly becoming the foundational layer for a new class of physical AI infrastructure, and the data centre real estate required to support it is one of the defining industrial investment stories of this decade.

The United States and Australia are particularly well positioned to capture this. Both have the regulatory frameworks, the energy access, and the enterprise demand to become anchor markets for next-generation compute infrastructure. For Australia specifically, the combination of sovereign data requirements, critical infrastructure investment, and geographic positioning in the Asia-Pacific corridor makes this more than a technology trend, it is a structural economic opportunity.

Unleash live is built on NVIDIA. That is not a marketing claim. It is an architectural decision that compounds in value as NVIDIA's stack matures.

Unpacking The Key Insights

1. Processing velocity is an operational variable, not a technical specification

Our NVIDIA L4 integration sustains real-time inference at 33ms (30fps) across concurrent multi-site, multi-camera deployments. The 120x performance improvement over CPU-only pipelines is not a benchmark exercise, it is the difference between a monitoring capability and an operational one.

For COOs and VPs of Infrastructure managing distributed asset networks, latency is directly correlated to exposure. Every second between a thermal anomaly appearing on a transformer and an operator receiving an actionable alert is a second of unquantified risk.

The architecture removes that gap.

2. Vision Language Models changed the deployment economics

Prior to VLM integration, deploying computer vision against a new use case required data labelling, model training, validation, and deployment, a cycle measured in months, not days.

NVIDIA-optimised VLMs running on the Unleash live platform allow operations teams to query live video using natural language on day one. No retraining cycle. No data science sprint. No delay between identifying an operational need and acting on it.

For enterprise programs operating across dozens of sites, this compresses time-to-operational-value in a way that changes procurement logic entirely.

3. Hybrid edge and cloud is not a compromise, it is the architecture

The Unleash live platform deploys across cloud, on-site processing, and connected drone infrastructure. Each layer is governed centrally. Each layer is hardware-agnostic.

This matters because infrastructure operators do not get to choose between data sovereignty and operational performance. They require both. Our hybrid edge and cloud architecture delivers both, within a standardised enterprise deployment model that does not require bespoke engineering at each new site.

What This Means for Utilities, Mining, and Transport

Unleash live, built on NVIDIA, is rapidly becoming a production-grade worker for mission-critical digital workflows across the sectors that keep economies operational.

Utilities and Energy: Computer vision applied to drone-captured visual data across transmission and distribution networks detects asset defects, vegetation encroachment, insulator damage, and thermal anomalies at a scale and consistency no manual inspection program can match. The output is a governed, auditable record that directly reduces exposure on SAIDI/SAIFI and STPIS regulatory metrics. These are not pilot outcomes, they are production deployments.

Mining: Computer vision applied to visual data across haul roads, processing facilities, and pit infrastructure identifies equipment condition, stockpile variance, and site safety exposure in time to act on it. Faster anomaly identification reduces unplanned downtime and contractor cost without increasing headcount.

Transport: Computer vision applied to visual data across road, rail, and port networks supports incident detection, perimeter monitoring, and asset condition tracking at real-time frame rates, delivering a verifiable record for operational, regulatory, and insurance purposes.

Across all three verticals, the Unleash live platform already deploys physical AI, coupling infrastructure visual data insights with an efficient sensor, hardware, and network stack that captures, processes, detects, and acts at enterprise scale.

Born in NSW. Deployed Globally.

Unleash live was founded in New South Wales, Australia. That origin is operationally significant, not incidentally biographical.

Australia's critical infrastructure environment, regulatory complexity, geographic scale, extreme operating conditions, and early enterprise adoption of autonomous inspection, gave us a proving ground that most enterprise software companies never access. We built governance models, deployment architectures, and operational workflows in one of the world's most demanding infrastructure contexts.

Those learnings are now being taken globally. Unleash live is now working with leaders in the USA and Europe on physical AI rollouts.

NSW and Australia's positioning within NVIDIA's physical AI infrastructure buildout is not separate from Unleash live's commercial trajectory. It is part of the same thesis: that the countries and companies that govern visual data at scale will define the next layer of industrial operational intelligence.

We are proud to be part of that story, and committed to building it from a base that NVIDIA, AWS, and enterprise infrastructure operators across utilities, mining, and transport are now validating at scale.

The Practical Implication for Enterprise Programs

If you are evaluating or expanding a visual data program across multiple sites, three things are now structurally true:

Deployment programs that previously required extended model development cycles can reach operational value significantly faster.
Multi-site standardisation is achievable without bespoke engineering at each location.
The platform scales with the operation, governed, hardware-agnostic, and production-grade from day one.

The architecture is not experimental. It is deployed. Scaling globally.

Deepening NVIDIA Integration Across Cloud & Edge Infrastructure

getstarted@unleashlive.com (Unleash Live) — Wed, 18 Mar 2026 00:00:00 GMT

The Unleash Live platform now runs on NVIDIA L4 Tensor Core GPUs and Vision Language Models, extending production-grade computer vision performance across the world's most asset-intensive operations.

Enterprise infrastructure operators have a well-documented problem. Visual data is generated continuously across substations, pipelines, mine sites, and transport networks, but the operational intelligence buried in that footage rarely reaches decision-makers in time to matter.

The gap is not a data problem. It is a processing and governance problem.

Unleash Live was built to close that gap. And the deep integration of NVIDIA L4 Tensor Core GPUs and NVIDIA-accelerated Vision Language Models (VLMs) into the Unleash Live Platform is the most significant step yet in that direction.

Key takeaways

Unleash Live now runs on NVIDIA L4 Tensor Core GPUs and NVIDIA-accelerated Vision Language Models, enabling real-time computer vision across cloud, edge, and connected drone infrastructure.
Infrastructure operators can query live video with natural language prompts to detect anomalies, PPE issues, and proximity risks without lengthy model retraining cycles.
The NVIDIA-optimised architecture supports scalable, low-latency AI video analytics for utilities, oil and gas, mining, and transport operations.

Processing at the Speed Operations Require

Legacy computer vision infrastructure was not designed for the demands of distributed industrial environments. High-latency pipelines, fragile rule-based detection logic, and model retraining cycles measured in weeks created a compounding cost, missed anomalies, delayed decisions, and inspection backlogs that grew faster than teams could clear them.

The NVIDIA L4 integration addresses this at the architecture level.

By embedding NVIDIA's full software stack, NVDEC/NVENC for hardware video decode, CUDA for compute optimisation, TensorRT for inference engine compilation, and NVML for live GPU telemetry, the Unleash Live Platform maintains near-flat latency as concurrent camera stream counts scale. The real-time threshold of 33ms (30fps) is sustained across multi-site, multi-camera deployments.

Inference Latency: VLM Query on Live Video (ms per frame). Lower is better. Single 1080p camera stream queried with a zero-shot VLM detection prompt.

Scalability: Concurrent Camera Streams vs. Average Frame Latency (ms). Unleash live's NVIDIA-optimized pipeline maintains near-flat latency as stream count scales. Real-time threshold is 33ms (30 fps).

For infrastructure operators managing assets across dozens of sites, this is the difference between a monitoring capability and an operational one.

Key performance benchmarks:

120x AI video performance versus CPU-only pipelines
50W L4 TDP inference-grade efficiency at enterprise scale
2x effective frame rates via NVIDIA Optical Flow
Zero-shot detection with no model retraining required

Vision Language Models: Operational Queries Without Retraining Cycles

The integration of NVIDIA-optimised VLMs changes the economics of computer vision deployment in a structurally significant way.

Traditional deployments required engineers to train narrow, task-specific models for each detection requirement. Each new use case meant data labelling, retraining, validation, and deployment, a cycle that could consume months and significant budget before returning operational value.

VLMs running on the NVIDIA L4 architecture remove that constraint. Operations teams can query live video feeds using natural language, without any model retraining.

Queries such as identifying a missing PPE item, flagging a thermal anomaly on a transformer, or detecting an unauthorised proximity event near active plant are resolved in real time, on day one of deployment.

For COOs and VP Infrastructure managing multi-site programs, this has a direct bearing on deployment economics: faster time-to-value, lower integration overhead, and a platform that reasons about novel field conditions without requiring a data science sprint each time requirements change.

Deployed Across the Full Infrastructure Stack

The Unleash Live platform operates across cloud, edge, and connected drone infrastructure, adapting to the data sovereignty, connectivity, and compliance requirements of each deployment context.

Cloud: Heavy inference workloads run on L4-powered server nodes, supporting enterprise-scale multi-site deployments with centralised governance and model lifecycle management.

Edge (on-site processing): Where data sovereignty or network constraints require local processing, the same GPU-accelerated pipeline is deployed on-premise, maintaining performance without compromising security or compliance posture.

Autofly (connected drone fleet): Unleash Live's Autofly (GCS) connects drone fleets directly to the VLM inference pipeline. Anomalies are detected and surfaced to field crews and control rooms the moment footage is captured, not after manual review.

This hybrid edge and cloud architecture means infrastructure operators are not forced to choose between performance and governance. They get both, within a standardised enterprise deployment model.

Unleash live product family (Cloud, Edge, Autofly)

Vertical Impact

Energy and Utilities: Thermal anomaly detection on live transformer feeds. Zero-shot PPE compliance monitoring across substations and transmission corridors. Reduced exposure on regulatory metrics tied to network reliability and incident response.

Oil and Gas: Asset integrity monitoring at pipeline and facility level. Live VLM queries applied to field footage reduce inspection backlog without increasing headcount. Operational risk is quantified, not estimated.

Mining: Mine-to-mill equipment monitoring with live computer vision queries connecting field observations to production decisions. Faster anomaly identification reduces unplanned downtime and contractor exposure.

Transport: Multi-modal network monitoring at real-time frame rates. Pedestrian, vehicle, and perimeter analytics delivered within existing operational systems, supporting evidence-based compliance and incident response.

What This Means for Enterprise Deployment Programs

The NVIDIA L4 and VLM integration does not change what Unleash Live does. It extends how far, how fast, and how efficiently the platform can do it.

For enterprise operators evaluating or expanding visual data programs, the practical implications are clear:

Deployment programs that previously required extended model development cycles can now reach operational value significantly faster.
Multi-site standardisation is achievable without bespoke engineering effort at each location.
The platform scales with the operation, not against it.

Unleash Live will be demonstrating the platform live at NVIDIA GTC. Request an operational benchmark review to understand how the architecture performs against your specific infrastructure environment.

Request Operational Benchmark Review → unleashlive.com

Tackling Mining’s Biggest Challenges

getstarted@unleashlive.com (Unleash Live) — Thu, 20 Nov 2025 00:00:00 GMT

With the recent 6th Annual Digitalisation & AI in Mining Australia Conference (DAIMA) 2025, and the industry spotlight on the five critical issues shaping the future of mining, we thought we would take the opportunity to share how Unleash Live is supporting mining companies to overcome these critical issues:

1. AI Strategy, Adoption, and Maturity

Mining organisations face tough decisions around building or buying AI solutions, benchmarking adoption, and defining an AI maturity roadmap. Unleash Live simplifies this with scalable, plug-and-play computer vision solutions. Operators can deploy autonomous inspections and AI-driven analytics immediately, ensuring regulatory compliance while advancing along the AI maturity curve. For example, energy companies using Unleash Live have seen fivefold increases in inspection throughput, with actionable insights delivered directly to operational systems.

2. Data Governance, Integration, and Architecture

Mining generates massive volumes of data from sensors, cameras, drones, and mobile devices. Unleash Live turns this into structured, standardised, and accessible insights. Its platform bridges IT and OT systems, integrating legacy equipment and real-time field data. A phased approach ensures data governance while enabling predictive maintenance and cross-asset analytics.

3. The Future Workforce and Change Management

Skills gaps and change management are key hurdles. Unleash Live empowers field teams with AI-assisted workflows, automated inspections, and intuitive dashboards, reducing manual effort and burnout. Staff can focus on interpretation and decision-making, while AI handles repetitive capture and analysis. Up-skilling occurs organically through Unleash Live’s Smart Inspect and 3D Viewer simulations.

4. Operational Efficiency, Autonomy, and Next-Gen Tech

Machine vision inspections, mission automation, and autonomous drones reduce downtime, cut costs, and enhance safety. Unleash Live helps operators assess ROI on autonomous mining, while future-proofing operations for robotics, electrification, and next-gen sensors. Fuel, maintenance, and inspection efficiencies all improve with continuous AI-driven feedback.

5. Security and Operational Resilience

Remote sites and sensitive operational data demand resilience. Unleash Live combines secure, ISO 27001-compliant cloud infrastructure with controlled drone workflows and AI insights, protecting assets and enabling rapid response to risks. Security becomes a tool for operational excellence rather than a bottleneck.

Summary

From AI strategy to operational resilience, Unleash Live delivers practical, scalable solutions that convert complex mining challenges into measurable improvements.

At DAIMA 2025, we’ll explore these topics in depth. Unleash Live is a sponsor and exhibitor, and speaker, represented by our CEO & Co-founder, Hanno Blankenstein, who will talk on 'Machine Vision-Driven Inspections for Safer, More Efficient Mining Operations.'

Key speaker highlights:

Turn your existing CCTV network into intelligent visual sensors that automate inspections and enhance operational safety.
See real-world vision AI applications designed for reliable monitoring in harsh mining environments.
Deploy scalable solutions with portable AI on edge devices and cloud platforms.
Access fully integrated hardware packages for rapid trials and production rollout.
Retrofit vision AI seamlessly across mining assets and processing plants to optimise performance and reduce downtime.

Learn more.

Unleash live has won multiple AI industry awards

A Win for Responsible AI and Why It Matters More Than Ever

getstarted@unleashlive.com (Unleash Live) — Thu, 06 Nov 2025 00:00:00 GMT

Words from our CEO & Co-Founder, Hanno Blankenstein

Last night, Unleash Live was honoured to receive the Australia AI Award 2025 for Responsible AI. While our team initially had its sights on the Critical Infrastructure category, which we were also proud to be a finalist in, this recognition feels even more meaningful on reflection.

Responsible AI sits at the heart of everything we build. It shapes how we apply our technology across energy, resources, transport, and emergency response sectors, where AI has a real and immediate impact on people, safety, and performance.

At Unleash Live, we’re not interested in building quick, superficial AI tools. We’re developing a platform that helps people in the world’s most challenging environments, those working in dangerous, demanding, or data-intensive conditions. Our computer vision AI empowers workers in the field, in control rooms, and across remote sites where every second counts.

In mining, we help teams automate inspections and monitor vast operations with live visual intelligence. From pits and plants to conveyors and haul roads, our platform detects issues before they escalate, keeping people out of harm’s way and operations running smoothly.

In energy, our automated drones and computer vision capture accurate image data across assets and conditions, preparing utilities for extreme weather events such as bushfires and floods. Our platform turns captured visuals into structured insights by integrating imagery, sensors and data streams in real time. This enables providers like Endeavour Energy and Ausgrid to monitor infrastructure before and after disruption, respond faster, reduce downtime and strengthen grid resilience under pressure.

In transport and infrastructure, Unleash Live delivers situational awareness that improves network reliability and safety. Real-time video intelligence supports decision-making for operations, maintenance, and incident response, driving safer and smarter public systems.

And in emergency services, our partnerships show how responsible AI can save lives. Through live streaming from drones and field cameras, commanders gain instant visibility of fire grounds and disaster zones, enabling faster, more informed decisions without putting more people in danger.

The Responsible AI Award recognises this philosophy, our belief that AI should amplify human capability, not replace it. Our mission is to build technology that quietly powers those who keep our world safe, moving, and connected. This award belongs to every first responder, engineer, data scientist, and Unleash Live customer, who share this mission.

We would also like to acknowledge and thank the Australian AI Awards 2025 and all the finalists in the Responsible AI category: Antares Solutions, Archistar, Beforepay, Carrington Labs, Creart Digital Media, ISaidUSaid, IT Strategy Hub, and swipejobs, for their contribution to responsible innovation and for continuing to raise the bar for AI in Australia.

This win caps off an incredible year for Unleash Live. We won the AFR AI Awards for Productivity and Efficiency in Energy, featured in the Forbes Asia 100 to Watch list, and achieved a 93 Crunchbase Heat Score, marking us as one of the hottest AI companies globally to watch in 2025.

Each milestone reflects the dedication of our team, partners, and customers who continue to trust us to deliver meaningful, responsible innovation. The journey continues, and so does our pursuit of better answers for people, industry, and the planet.

More on Unleash Live's Guiding Principles

Unleash live has won multiple AI industry awards

The Smartest Way for Utilities to Spend US$1 Trillion

getstarted@unleashlive.com (Unleash Live) — Thu, 30 Oct 2025 00:00:00 GMT

According an EEI Research Industry Capex report, utilities are poised to spend $1.1 trillion over the next five years modernizing and expanding the US electric grid, while capital expenditures this year alone are expected to hit a record $208 billion. With that level of investment, every dollar must deliver maximum impact.

So what gives you the biggest return? What should utilities be prioritizing first? The answer is clear: drone automation plus AI asset inspections, because when budgets are massive, the gains from efficiency and insight, scale even faster.

Why drone automation plus AI Asset inspections are the best ROI play

Let’s face it, utilities already have a lot to invest in, grid hardening, DER integration, energy storage, cybersecurity, renewables, smart meters. But inspections and condition monitoring offer a unique leverage point that compounds across every asset.

Here’s why:

You instantly unlock efficiency gains at scale: Traditional inspections, whether manual patrols or helicopter flyovers, are costly, time-consuming, and constrained by terrain, weather, and safety. Drone-based inspection slashes that time by 50–80%, allowing more frequent coverage without a commensurate increase in budget or headcount.
Early fault detection prevents expensive failures: AI-driven analysis helps spot issues long before they become outages or catastrophic failures. Detecting subtle defects early saves on costly emergency repairs, reduces downtime, and extends asset life. That kind of proactive maintenance compounds savings across the entire network.
Reduce emissions, risk, and human exposure: Drones can replace helicopter flights, reducing CO₂ emissions by up to 80% and significantly lowering inspection costs. Crews spend less time in risky environments. In many cases, you reduce regulatory or safety overhead just by minimizing on-the-ground exposure.
Scale insights, not headcount: As your network grows, new lines, more equipment, more sites, scaling human inspections becomes unfeasible. But an automated drone plus an AI platform scales nearly linearly, delivering more coverage with minimal incremental cost. For each new asset added, your marginal inspection cost is tiny.
Data-driven optimization across your grid investments: Inspection data feeds into your broader planning. Which feeders are trending poorly? Where do you prioritize hardening or upgrade dollars? AI-derived condition scores and analytics help guide capital deployment, not just maintenance. In other words, inspections become part of strategic decision-making, not just a compliance burden.

What you should fund first in your modernization roadmap

Here’s how to prioritize on the inspection/monitoring side:

Deploy a pilot region using drone automation plus AI inspection: Start with a high-risk or high-value feeder region. Prove the ROI: show the cost reductions, defects caught early, faster turnaround, safety gains.
Roll it out across your network in phases: After success in the pilot, expand region by region. You don’t have to do everything at once. Early wins build stakeholder confidence.
Integrate with your asset management and OMS systems: Inspection data should feed into your existing systems. Use the AI-derived insights to prioritize and schedule work, not just report defects.
Invest in training, change management, and APIs: Make sure your field teams, planners, and engineers adopt the new workflows. Provide seamless mobile dashboards, APIs, integrations, and intuitive tools.
Prepare for autonomous, repeat inspections: Over time, shift toward semi or fully autonomous drone routes. Add docking (charging) stations, route orchestration, and on-demand flights for anomalies or storm response.

Why this move stands out amid billions of dollars of CapEx

Fastest payback: Unlike long-lead grid projects, drone automation plus AI systems start paying dividends out of the gate. You begin saving on inspection costs and downtime almost immediately.
Network-wide leverage: As your infrastructure footprint expands, the marginal returns on inspection automation don’t diminish, they increase.
Strategic alignment: Efficient inspections support every other capital initiative (resilience, DERs, grid intelligence) by giving you better condition data to guide where to invest.
Future-proofing: As new challenges grow (wildfire risk, extreme weather, remote assets), automated inspection is foundational, not optional.

At Unleash Live, our platform is built for this moment. With automated drone capture, AI, and scalable geospatial reporting, we help utilities transform inspections from a cost center into a strategic advantage.

If you’re gearing up for this wave of grid investment, your smartest first bet is working smarter, not harder. Start with inspection automation. Let the ROI follow.

Learn more

Unleash live has won multiple AI industry awards

Why AI for Industry is Entering Its Most Important Phase

getstarted@unleashlive.com (Unleash Live) — Thu, 14 Aug 2025 00:00:00 GMT

The global industrial AI race is no longer theoretical. After years of early trials and hype cycles, we are now seeing large-scale deployments that deliver measurable results. This is the moment where Machine Learning AI is moving from niche applications into mainstream operations.

In a recent article by the prominent German weekly magazine DER SPIEGEL titled, “Don’t bury your head in the sand, Audi, Siemens and Bosch aim to become world leaders in AI”, by Martin Hesse and Timo Schobera, these global industrial leaders paint an optimistic view of AI adoption. It contrasts sharply with the negative narratives that dominate some headlines. The reality is that AI is solving complex, real-world problems, creating safer workplaces, reducing costs, and enabling efficiencies that were once thought impossible. The opportunities for higher productivity and automation in industry are evolving fast.

At Unleash Live, we see this acceleration firsthand. Our partnerships with industry leaders like ABB, Siemens and Hexagon are proof of how collaboration accelerates impact. As the first computer vision leader on the Siemens Xcelerator ecosystem, we integrate advanced video analytics into industrial workflows, giving operators real-time insights to detect anomalies, prevent downtime, and improve asset performance. With ABB, our joint work leverages AI-driven analytics for safer, smarter energy and infrastructure management.

“The power of these partnerships is that they combine our rapid innovation with the scale and credibility of global industrial leaders. It is how we turn advanced AI into operational reality for enterprises anywhere in the world,” says Hanno Blankenstein, CEO of Unleash Live.

Australia does not have the same depth of heavy industrial manufacturing as some European and US markets, however the large scale infrastructure segments such as mining and resources, electricity generation and transmission, transport and aviation lend themselves for deploying and scaling advanced AI. This also means Unleash Live’s growth and client base is inherently global. By partnering with established players in Europe, North America, and Asia, we can deploy our technology at scale and bring that experience back to local markets. It is a model that lets us operate at the cutting edge while ensuring Australian industries still benefit from the most advanced AI capabilities available.

Our technology approach matches the direction outlined in this insightful article. By focusing on a flexible, interoperable architecture, we can connect to existing video infrastructure, whether it is drones, fixed cameras, or mobile devices. The system is designed for rapid deployment, on the edge or in a private cloud with low latency, and real-time decision-making. This is critical for industries where every second counts, such as energy utilities, manufacturing plants, and transport networks.

Examples of impact are already here. Utilities are using our AI models to identify faults before they cause outages. Renewable operators are monitoring wind farms for component wear without sending teams on dangerous climbs. Mining operators are improving site safety by detecting hazards in real time.

The race is only just beginning. As more industries understand that AI is not a distant concept but an operational necessity, the adoption curve will steepen. Those who delay risk are being left behind, not because the technology is unproven, but because the competition is already reaping the benefits.

For Unleash Live, this is both an exciting and defining period. We will continue to align with global industrial leaders, invest in scalable AI solutions, and prove through use cases that the benefits are real, measurable, and here today.

The conversation should not be about whether AI will transform industry. It already is. The question now is how quickly each sector will adapt and how ready they are to compete on a global stage.

AI Mining: Unleash Live & Hexagon Lead the Next Wave of Efficiency

getstarted@unleashlive.com (Unleash Live) — Tue, 05 Aug 2025 00:00:00 GMT

In the evolving world of mining, data-driven precision is no longer a competitive edge, it’s a necessity! As global operations seek to reduce risk, increase output, and meet rising Environmental, Social and Governance (ESG) standards, intelligent automation is fast becoming the foundation of modern mine sites.

Enter Unleash Live and Hexagon, two innovation leaders joining forces to reshape mining operations with real-time, Machine Learning AI analytics.

A Strategic Integration for Smarter Mining

Hexagon, a Sweden-based global leader in digital reality solutions, delivers advanced sensor, software, and autonomous systems across mining, manufacturing, and public safety sectors. With a mission to bridge the digital and physical worlds, Hexagon helps organisations harness complex spatial data to optimise productivity, improve safety, and operate more sustainably.

Through its strategic integration with Unleash Live, Hexagon is extending its reach into powerful new territory, real-time video analytics. Unleash Live’s AI platform transforms visual data from drones, CCTV, and industrial cameras into actionable insights that drive decision-making in the field.

Together, the two companies deliver an integrated analytics solution that merges Hexagon’s high-precision machine guidance with Unleash Live’s real-time AI vision capabilities, bringing speed, automation, and intelligence to mining like never before.

Integrated workflow

Unleash Live onboard systems connect with Hexagon mine ops box and allow real-time flow of vision based alerts into the full mining operations. The integrations are configurable and alerts from the vision AI system can be mapped to specific alerts in the Hexagon mine ops system.

Real-Time Mining Use Cases

The collaboration unlocks a range of advanced solutions that enhance site awareness, equipment performance, and operational efficiency. Here’s some examples of how:

1. Oversize Rock Detection at the Crusher

Unleash Live’s AI system identifies oversized rocks in real time, preventing them from being dumped into the wrong crusher and avoiding costly downtime. This solution eliminates the need for expensive depth cameras or LiDAR, using vision AI to calculate rock size with precision.

Now, with integration into Hexagon’s OP Pro Machine Guidance System, truck drivers receive live crusher routing directly on their in-cab screens—automating a decision that was previously manual and prone to error. Faster dumping cycles, reduced crusher blockages, and streamlined fleet coordination.

2. Excavator Tooth Fall Detection

When an excavator tooth breaks off, it can end up in a crusher and cause major equipment damage. Unleash Live’s AI instantly detects missing teeth, triggering alerts so recovery teams can act before it becomes a costly incident.

3. Tailing Dam Monitoring

Using continuous video streams and machine learning, Unleash Live helps operators track structural changes, water levels, and sediment movement around tailing dams, adding a layer of proactive risk management.

4. Dust Monitoring and Compliance

By integrating with site camera feeds, Unleash Live’s AI measures dust levels across mine zones, supporting ESG reporting and real-time compliance with environmental thresholds.

Why This Matters: Reducing Downtime, Improving Safety

Without automation, many of these workflows depend on manual inspection or reactive decision-making. That means delays, errors, and increased risk. With AI-powered automation, the entire system becomes predictive, precise, and scalable.

Unleash Live’s integration with Hexagon’s OP Pro ensures that these AI insights don’t just sit in dashboards, they’re embedded directly into operator workflows.

From excavators to haul trucks, decision-makers and drivers receive real-time guidance, all driven by AI.

The Future of Mining: Where Unleash Live and Hexagon Go Next

The mining industry is shifting toward intelligent operations, powered by automation, connected systems, and AI insights. The Unleash Live and Hexagon partnership is perfectly positioned to lead this transition.

Here’s what’s ahead:

1. Predictive and Prescriptive Analytics at Scale

Combine historical data and real-time video to predict failures and prescribe actions
Extend asset lifespan and reduce unplanned downtime

2. Autonomous Mining Workflows

Fuse computer vision with Hexagon’s autonomous fleet management
Move toward fully autonomous, human-supervised mine operations

3. AI-Driven Safety Intelligence

Detect personnel in restricted zones
Monitor PPE compliance and unsafe behavior
Trigger real-time alerts to prevent accidents

4. Smart Material Flow and Inventory Tracking

Use AI vision to identify material types and track them across the site
Prevent bottlenecks and improve throughput

5. Sustainability and ESG Monitoring

Capture emissions, water usage, and dust levels automatically
Feed compliance reports with real-time visual evidence

6. Closed-Loop Quality Control in Manufacturing

Integrate vision AI with Hexagon metrology tools
Enable smart manufacturing lines with zero-defect feedback loops

Conclusion

The integration of Unleash Live AI video analytics with Hexagon machine guidance systems represents a major leap in digital transformation for the mining industry. It closes the gap between what’s happening in the field and what decision-makers see, making operations safer, faster, and more efficient.

Mining teams no longer need to imagine what AI can do for them. With this partnership, they can experience it, live, in the field, and at scale.

Want to learn more?

Unleash Live Mining Solutions:

Extraction

Material Handling

Mineral Processing

3 Phases of Resources - Extraction: Surveying, Blasting and Digging. Material Handling: Trucking, crushing, conveyors and rail. Mineral processing: Gringing, filtration and residue

Hexagon Solutions:

Hexagon Products

Hexagon Op Pro Screen

The Future of Infrastructure Monitoring: 3 Trends to Watch

getstarted@unleashlive.com (Unleash Live) — Thu, 24 Jul 2025 00:00:00 GMT

How real-time video, AI, and automated drones are transforming asset inspections, making them faster, safer, and more efficient

Infrastructure monitoring is undergoing a fundamental shift. Traditional inspections that relied heavily on manual fieldwork are being replaced by real-time data, intelligent automation, and remote decision-making. From utilities and transport networks to emergency services and renewables, the pressure to do more with less is accelerating innovation.

At Unleash Live, we work on the front line of this shift. Our customers use drones, AI video analytics, and automated workflows to monitor and manage critical infrastructure across Australia and the United States. Based on what we’re seeing in the field, here are the three major trends that are shaping the future, and what they mean for your operations.

1. AI Is Moving From Post-Processing to Real-Time Insight

Historically, video inspections captured in the field were reviewed days or even weeks later. By then, conditions had changed, issues had escalated, and valuable time was lost.

Unleash Live is transforming infrastructure monitoring with machine learning AI that detects asset faults, vegetation risks, and storm or fire damage in real time. Our system identifies threats the moment they appear on live video, giving teams the visibility they need to respond fast. Fire and Rescue NSW, for example, uses Unleash Live to stream live footage from drones and mobile devices straight to control rooms, enabling faster, more informed decisions during emergencies.

In the utilities sector, a major NSW utility provider uses our Autofly and AI analytics to inspect pole-top infrastructure in bushfire-prone areas. Video is streamed live during drone missions, and faults are automatically detected before operators even return to base. This allows field teams to prioritise follow-ups, cut unnecessary rework, and increase daily inspection volumes.

As AI gets faster and more precise, it’s not just speeding up inspections, it’s making it possible to scale them predictively, before disasters strike.

2. Drone Regulation Is Catching Up to Real-World Demand

Automated drone missions are now a core part of utility and infrastructure workflows. But until recently, regulations around flight paths, pilot oversight, and visual-line-of-sight requirements slowed down adoption.

That’s starting to change by using tools like Unleash Live’s Autofly, utilities are now deploying fully automated missions with pre-defined flight paths, pole-specific waypoints, and instant uploads to the cloud. This reduces the need for highly skilled manual pilots and makes it easier to manage distributed networks of assets.

During Pre-Summer Bushfire Inspections (PSBI), Endeavour Energy’s teams used Autofly to inspect thousands of poles across high-risk zones, delivering fast, accurate results, while keeping crews out of dangerous terrain. Drone flights were completed faster, imagery quality improved, and crews could monitor and manage jobs remotely using Unleash Live’s tasking tools.

As regulations evolve to support these workflows, more organisations will gain the ability to inspect broader regions with fewer people, less travel, and lower cost.

3. Remote Operations Are Becoming the Norm

The days of sending inspection teams into the field with cameras and checklists are being replaced by remote-first operations. With live video, drone automation, and cloud-based analysis, full inspection workflows can be managed from anywhere.

Unleash Live supports this shift with a system that integrates planning, capture, analysis, and reporting into one seamless environment. Utilities, transport agencies, and emergency services are using it to reduce manual work, speed up response, and improve asset visibility.

In the mining sector, Unleash Live applies machine learning AI to streamline a wide range of operations across the entire value chain, particularly for remote operations. From inspecting haul roads, tailings dams, and remote infrastructure to monitoring conveyor belts, crushers, and processing equipment, our system reduces the need for large field teams. Live video and AI models detect faults, spills, structural issues, and environmental risks as they happen. This enables condition-based maintenance, improves safety, and reduces downtime. Our tools also support compliance reporting, fleet tracking, blast monitoring, and site security, delivering one integrated system to solve multiple operational challenges in real time.

In transport, we work with state government departments to monitor level crossings and track-side infrastructure using computer vision and live feeds. Automated alerts help identify safety issues before they become hazards.

By combining real-time data with intelligent analysis, remote operations aren’t just possible, they’re now essential to scaling inspection and response efforts.

What This Means for You

Unleash Live is built to meet these demands. Whether you’re running bushfire inspections before summer, scanning transmission towers after a storm, or monitoring equipment across a mine site, our system helps you do it faster, safer, and with greater precision.

With automated drone missions, real-time video analytics, and machine learning AI models tailored to your assets, Unleash Live delivers the visibility and insights needed to stay ahead of risk. From the control room to the remote field, we help your teams act with speed, accuracy, and confidence—no matter how complex the environment.

Want to see it in action?

Watch our Endeavour Energy case study or watch our latest webinar with DJI, where we explore how drone automation and AI are transforming field inspections.

Why 'Let It Crumble' Isn’t a Strategy for Infrastructure Monitoring

getstarted@unleashlive.com (Unleash Live) — Mon, 30 Jun 2025 00:00:00 GMT

Podcast Conversation With Expert, Arnaud Thiercelin, Chief Product Officer with Orga

“One of the most shocking things I heard during my time at DJI came not from a drone technician or technologist, but from a civil engineer,” said Arnaud Thiercelin. “With a straight face, they told me, ‘We’ve built so much infrastructure, and we have so few people to monitor it. Our only plan is to let it crumble and build it again.’”

That statement, shared by civil engineers, shocked Arnaud and sparked a deeper conversation in a recent episode of The Vertical Space, ‘Cutting through the gimmicks and winning the drone marathon’. Arnaud, now Chief Product Officer at Orqa and former Head of DJI R&D and VP of Engineering at Auterion, calls out the urgent need for smarter infrastructure monitoring and real-world drone applications.

He shares bold views on what’s broken and what’s next, covering:

Why the drone industry is missing the mark
Gaps in Western supply chains
What it takes to build a defensible robotics company
How drones can meaningfully integrate into enterprise ecosystems

This is a must-listen for anyone interested in drones, robotics, and the future of critical infrastructure. Arnaud challenges the status quo, urging listeners to think beyond gimmicks and focus on delivering real value to end users. From FPV drones neutralizing M1 Abrams tanks to the West’s struggle to produce a viable DJI competitor, he doesn’t shy away from controversy. He calls out the industry's missteps and offers sharp insights into what it will take to reclaim leadership in drone and robotics innovation.

This episode explores the broader implications of mobile robotics across commercial markets. Arnaud discusses the critical gaps in the Western drone supply chain, the challenges of building a defensible company, and the next major competitive battleground in drone technology. He also shares his vision for integrating drones into enterprise ecosystems and the rapid expansion of drone use cases.

This mindset isn’t hypothetical. It’s playing out in real time! From wildfires in California to floods in Asia, and catastrophic dam failures like the one in Brazil, we’re seeing the consequences of under-monitoring. A hairline crack in a concrete dam, undetected because no one was inspecting it, led to a disaster that cost lives and billions in damages.

Arnoud had spoken about that exact risk at a conference in Guangzhou just weeks before the Brazil dam burst. These aren’t what-ifs. They are happening.

The Core Problem: Labour Gaps and Low Visibility

The issue isn’t a lack of concern. It’s capacity. There simply aren’t enough skilled people to inspect every utility pole, transmission line, pipeline, and dam.

Most utility companies in places like the western United States either:

Don’t know the current condition of their infrastructure
Or have only a partial, outdated view of it

With climate-driven events becoming more frequent and severe such as wildfires, floods, and heatwaves, insurers are demanding better visibility and risk mitigation. They are raising premiums or walking away unless utilities can demonstrate continuous asset awareness.

But no utility can afford to hire tens of thousands of inspectors. Even if they could, the process would be too slow, expensive, and inconsistent to match the urgency of the risks.

What is Needed: Early Detection, Real-Time Streaming, Actionable AI

This is where award winning Unleash Live can make a difference. We don’t just help you see your infrastructure. We help you understand it in real time!

Unleash Live provides a complete end-to-end solution for inspections and emergency response.

Before

Plan missions using digital twins and asset maps
Automate drone flights and inspection routes

During

Live stream video from drones, CCTV, or mobile units
Real-time AI detection of faults, smoke, flooding, or structural shifts
Stream directly to control rooms, emergency command centers, or mobile teams

After

Post-event analysis, annotations, and reporting
Automatically flag assets for repair or re-inspection
Share insights across agencies or departments instantly

Whether you're managing wildfire risks, assessing damage after a cyclone, or inspecting transmission lines following extreme weather, Unleash Live ensures you're never flying blind.

You can read more about how utilities are already benefiting from this approach in our blog, Helping Utilities Respond Faster and Safer in Emergencies and our recent Video Case Study with Endeavour Energy on pre-inspections prior to bushfire season.

Why This Matters Now

This is not just about technology. It is about resilience. Countries with declining birth rates, ageing infrastructure, and increasing frequency of natural disasters, need a scalable and intelligent way to maintain visibility across their networks.

Unleash Live provides the tools to monitor proactively rather than reactively. Letting it crumble is not a strategy. It is a failure of planning. And it is one we can no longer afford.

Our recent NSW Government Grant for Rapid Asset Assessment highlights how we're expanding this capability further, accelerating emergency assessments for critical infrastructure across Australia.

Podcast Source: The Vertical Space: #87 Arnaud Thiercelin, Hosted by Luka Tomljenovic, James Barry and Peter Shannon

Six-Step Guide to Unlocking Insights with an AI-Driven Video Platform

getstarted@unleashlive.com (Unleash Live) — Tue, 12 Nov 2024 00:00:00 GMT

An AI-enhanced video analytics (VA) platform like Unleash Live leverages advanced computer vision algorithms, packaging them into powerful AI Apps to process live video and high-quality image streams in real-time, extracting critical operational data and automating responsive actions. By using deep learning models for object detection, change tracking and pattern recognition, Unleash can dynamically monitor and analyze footage across diverse sectors, such as energy, public safety, mining and transportation.

Unleash Live’s VA platform is also natively available in the cloud, however, it can also be deployed at the Edge, On-Prem, Hybrid or MEC/Nokia MIXIE (learn more) to balance our customers' need for scalability and low-latency responses, enabling rapid, localized decision-making. This architecture supports real-time event detection (e.g. equipment anomalies or safety compliance breaches), while enhancing workflow optimization and asset management. The AI Apps Store allows for industry-specific applications, making it adaptable to complex environments and valuable for automated inspections, risk assessment and resource allocation.

Unleash Live’s AI-Driven VA Platform transforms raw video and imagery into actionable intelligence by following six essential steps and considerations that ensure effective deployment and functionality of a computer vision solution:

1. Camera Type and Placement

Choosing the right camera type is foundational. Depending on the application, you may need thermal, RGB or specialized sensors. Thermal cameras are valuable for detecting temperature variations and ideal for monitoring equipment heat signatures or human body temperatures. RGB cameras capture full-color data, offering general-purpose visuals suitable for object detection or safety compliance monitoring. For deployment locations, aerial (drone-mounted) cameras are ideal for wide-area surveillance (e.g. large industrial sites). In contrast, fixed cameras monitor static areas and robot-mounted cameras provide mobile, adaptable views. Each option affects the perspective, coverage area and data type gathered, so consider the use case when selecting camera type and placement. As a hardware-agnostic solution, Unleash supports a comprehensive range of camera sensors, from Video Management Systems such as Milestone and Genetec, to DJI drones and Axis cameras. Full range of supported hardware can be found on our website.

An example of drone-based thermal and RGB capture - useful for temperature and leak monitoring as well as reviewing structural defects.

2. Deployment Options

Computer vision processing can be deployed in various configurations, including cloud, edge, hybrid and MEC (Multi-access Edge Computing) setups. Cloud deployment is highly scalable and offers easy access to advanced computing resources but can introduce latency or have challenges with patchy connectivity. Edge computing processes data closer to the camera, providing low-latency responses and improved privacy for sensitive data. Hybrid solutions combine cloud scalability with edge efficiency, allowing flexible data handling based on network conditions or resource availability. MEC, specifically used in environments like 5G networks, supports ultra-low-latency processing, ideal for real-time analytics on mobile and connected devices. The choice of deployment model influences the speed, scalability and cost of your computer vision system.

3. Connectivity Options

Connectivity impacts data transmission speed and reliability. Fiber-optic connections provide high bandwidth and stable connectivity, which is ideal for fixed installations with high data requirements. Private LTE and 5G networks offer wireless high-speed connections, especially useful for remote or expansive industrial sites, allowing cameras to send large volumes of data in real time. Satellite connectivity solutions like Starlink offer internet access in remote areas where fiber or cellular connections are unavailable. Each option has trade-offs regarding latency, bandwidth and coverage, so selecting the right connectivity is essential for data-intensive and latency-sensitive applications

4. AI Applications

Determine if the specific AI application you need already exists or if custom development is required. Unleash Live provides an ‘AI Apps Store’, where off-the-shelf models are available for common use cases like object detection, asset tracking or compliance monitoring. If a custom AI App is required, Unleash or a 3rd party can build one. Learn more about what is an AI App and the benefits of working with Unleash when it comes to quickly deploying new vision AI applications.

5. Data Frequency, Output Format and Distribution

Decide the frequency of data capture and streaming (e.g. continuous, periodic) based on operational needs and connectivity limitations. Output formats may range from video clips to processed analytics reports or even specific alerts for actionable events. Additionally, defining the recipients of these insights (e.g. operations teams, safety officers) is crucial for practical integration into existing workflows. This setup helps avoid data overload and ensures that actionable insights are timely and delivered to the right teams.

6. Trial/Proof of Concept vs. Production

Depending upon the use case(s) being deployed, a proof of concept (PoC) or trial phase is recommended. This allows you to test the solution’s accuracy, reliability and integration with existing processes.

Unleash Live differentiates between a PoC and Trial by use case applications. Where an existing AI App exists and simply requires refinement, this is referred to as a trial. Where the use case is completely new and an AI App is being built from scratch, this is a PoC where we refine performance feedback, address unforeseen issues and establish metrics for success. After successful PoC validation, a production-ready system can be implemented focusing on scalability, security and regular monitoring, ensuring it delivers long-term value.

By addressing these steps, customers can systematically deploy robust computer vision applications for operational requirements and scale to virtually an unlimited number of use cases.

This is a fast-moving space and the list of AI Apps specifically being developed for the mining industry is is ever-increasing, as we align to mining workflows including:

1. Extraction: Explore a range of extraction use cases that encompasses; surveying, perimeter monitoring, mobile plant inspections and productivity monitoring, land management, site safety and so much more, with a few examples listed below:

Automated UAV surveying
UAV blast monitoring
GET missing tooth and tooth wear detection
Bucket payload monitoring
Fleet usage
Land management and rehabilitation for ESG
Site safety - PPE Equipment Detection

An excavator-mounted camera automatically monitors worn teeth on Ground Engaging Tools (GET), poewred by Unleash live's AI Apps

2. Material Handling: Uncover use cases for; crusher analytics, cart monitoring, linear pipeline, conveyor and rail performance monitoring, rail yard logistics, hot roller detection, stockpile volume measurement and over and under stocking detection. Examples are listed below:

Crusher analytics and boulder detection
Ore cart monitoring
Heavy vehicle analytics
Linear pipeline monitoring
Linear conveyor monitoring
Rail performance monitoring
Rail-yard logistics
Hot Roller detection

3. Mineral Processing: Utilize a range of use cases for; mind shaft analytics, filter press health monitoring, tailing dam stability, flaring, venting, methane detection, and containment loss. Examples are listed below:

Mineshaft analytics
Filter press health monitoring and blowout prevention
Tailing dam stability and carbonation
Flaring and venting (Ringelmann)
Methane detection
Containment loss

Summary

In an increasingly digital landscape, Unleash Live’s AI-driven video platform empowers the mining sector to enhance efficiency, safety and productivity across a range of operations. By systematically addressing key elements, from selecting the right camera types and deployment options to tailoring AI applications and connectivity choices, Unleash Live equips mining companies with real-time, data-driven insights that meet specific operational needs (Learn more). Its adaptable AI Apps Menu, covering areas like extraction, material handling and mineral processing, provides scalable solutions that evolve alongside industry demands and technological advancements. While the mining industry is a primary example, Unleash Live’s platform also supports utilities, renewables, emergency services and transport, setting new standards for operational intelligence across these critical sectors.

Discover how Unleash Live is reshaping intelligence for the next generation here.

Unlocking Operational Value with Computer Vision

getstarted@unleashlive.com (Unleash Live) — Mon, 09 Sep 2024 00:00:00 GMT

In today’s fast-paced, data-driven world, Computer Vision (CV) is often heralded as a groundbreaking technology with the potential to transform industries. However, the true value of CV lies not in its ability to simply identify and highlight objects within video feeds, but in its capacity to extract, clean and organize vast amounts of data into actionable insights that drive operational excellence.

The Problem with Most Computer Vision Solutions

Many Computer Vision solutions on the market focus primarily on demonstrating their ability to detect objects by overlaying drawings or bounding boxes on video feeds. These visualizations might look impressive but they often lack substantive operational value. Highlighting an object in a video does little to help businesses make informed decisions, optimize processes or improve safety and compliance.

The reality is that raw CV data, while abundant, is often unstructured and overwhelming. Without proper processing, this data remains nothing more than ‘pretty pictures’ with no real operational impact. To unlock the true potential of Computer Vision, it is crucial to move beyond basic object detection and focus on how to clean, filter and organize this high-velocity data into meaningful insights that can be acted upon.

Transforming Data into Operational Value

The process of transforming CV data into valuable insights begins with cleaning and filtering the raw data to remove noise and irrelevant information. Once cleaned, the data must be organized and packaged in a way that is easily understandable and actionable by operations teams. Only then can CV truly begin to add value to an organization.

Here are a few examples of how properly processed CV data can be used to unlock significant operational value:

1. Upholding Compliance:

Safety Wear Compliance: CV can be used to monitor workers in real-time and alert operational safety teams immediately if someone is not wearing the required safety gear. This proactive approach helps prevent accidents and ensures compliance with safety regulations.
Wharf Patrol: By analyzing video feeds from wharves, CV can detect unauthorized non-ferry passenger activity and alert security teams to intervene promptly, ensuring the safety and security of the area.

2. Traffic Engineering:

Highway Utilization: CV can track and analyze traffic patterns on highways, providing valuable data on utilization rates. This information can be used to optimize traffic flow and reduce congestion.
A/B Testing on Highway Policy Changes: By monitoring the effects of different highway policies (e.g., speed limits, lane changes), CV allows traffic engineers to evaluate the impact and make data-driven decisions for future improvements.

3. Monitoring and Tracking SLAs:

Airport Airside Servicing Turnaround: CV can monitor and track the efficiency of airplane servicing activities, such as refueling and baggage handling, to ensure they meet Service Level Agreements (SLAs) and reduce turnaround times.
Train/Light Rail Timeliness: By tracking the punctuality of train and light rail services, CV helps operators maintain high levels of service reliability and customer satisfaction.

4. Forecasting Activities:

Personnel Rostering: By analyzing trends and seasonal patterns in events, CV can help forecast personnel needs, ensuring that staffing levels are optimized to meet demand.

Conclusion

Computer Vision has the potential to transform industries by providing rich, valuable data that can be used to optimize operations, enhance safety and improve compliance. However, the key to unlocking this value lies in the ability to clean, filter and organize the raw data generated by CV into actionable insights.

At Unleash Live, we understand that Computer Vision is more than just about pretty pictures, it's about delivering operational value that drives real-world results. By focusing on the end goal of operational efficiency, safety and compliance, we help organizations harness the true power of Computer Vision to achieve their objectives.

Explore more about how Unleash Live’s AI-driven video analytics solutions can transform your operations by turning raw data into actionable insights.

Check out our range of AI apps.

Unleash Live Joins the Siemens Xcelerator Ecosystem

getstarted@unleashlive.com (Unleash Live) — Wed, 28 Aug 2024 00:00:00 GMT

Unleash Live is now an official member of the Siemens Xcelerator ecosystem, marking a pivotal moment in our mission to drive digital transformation across critical infrastructure industries. This strategic partnership is set to transform sectors such as; mining, resources, transport, renewables, utilities and airports, by bringing advanced real-time video analytics and AI-driven insights to the forefront of industrial automation.

Accelerating Digital Transformation

Industries around the world are constantly seeking to enhance operational efficiency, ensure safety and achieve higher sustainability. In this context, integrating advanced sensor and data insights technologies becomes essential. Siemens Xcelerator, an open digital business platform and marketplace, offers a robust ecosystem of vetted high quality partners and solutions designed to help businesses navigate these challenges. By joining forces with Siemens, Unleash Live is now well positioned to deliver transformative solutions that enhance operational performance, collaboration, safety and automation together with Siemens.

Expanding Industrial Automation Use Cases

Our collaboration with Siemens is about more than just adopting new technologies, it’s about rethinking how industries operate and addressing their most pressing challenges. Unleash Live’s AI-powered video analytics platform is now accessible to a broader audience through Siemens Xcelerator, enabling real-time monitoring, tracking and decision-making capabilities that are vital for modern businesses.

As part of this partnership, Unleash Live is introducing a suite of industrial automation use cases that are critical for industries today:

Valve Monitoring: Ensure the seamless operation of industrial valves with AI-powered video analytics that detect anomalies and predict maintenance needs, reducing downtime and operational risks.
Spark Detection: Enhance safety in industrial environments by using real-time video analytics to detect sparks and other fire hazards before they escalate into dangerous situations.
PPE Compliance: Ensure worker safety by monitoring and verifying that all personnel are wearing the required Personal Protective Equipment (PPE) in hazardous environments, minimizing risks and ensuring compliance with safety regulations.
Industrial Machinery Monitoring: Optimize the efficiency of industrial machinery operations by tracking performance in real-time, identifying blockages and predicting maintenance needs to prevent disruptions in production.
Tailings Dam Monitoring: Enhance environmental safety by using real-time video analytics to monitor the structural integrity of tailings dams, detecting potential leaks or breaches before they pose significant risks.
Solar Parks Management: Maximize the efficiency of solar power generation by monitoring panel performance, detecting obstructions and ensuring optimal alignment to capture the most energy from the sun.
Wind Turbine Monitoring: Improve the reliability and performance of wind turbines by analyzing video data to detect blade damage, monitor rotational efficiency and predict maintenance requirements.
Transport Flow Analysis: Enhance the efficiency of transport networks by using AI to monitor traffic patterns, predict congestion and optimize traffic flow, reducing traffic incidents, travel time and carbon emissions.

These are just the beginning. Unleash Live is committed to expanding its portfolio with more industrial automation solutions that meet the specific needs of industries ranging from mining, renewables, transport to energy production.

Unleash live's powerful computer vision insights are integrated with Siemens predictive maintenance tools, delivering significant value to organizations

Transforming Field Operations with AI

Unleash Live's AI-driven platform is designed to equip businesses with the tools they need to reduce costs, boost productivity, improve accuracy and enhance safety. Our platform utilizes sophisticated AI algorithms to track and monitor objects from video streams captured by CCTV, aerial drones, robotics cameras and sensors. This capability empowers our clients to make real-time, informed decisions, optimizing the management of field operations and ensuring better outcomes across the board.

Looking Ahead

As we embark on this exciting new chapter in collaboration with Siemens, we remain deeply committed to pushing the boundaries of innovation. Our collaboration promises to deliver groundbreaking solutions for industrial clients that not only meet the needs of today but also anticipate the challenges of tomorrow. We look forward to sharing more updates as we continue to work together to transform industries and drive sustainable, efficient and safe operations across the globe.

We invite you to learn more about our partnership with Siemens and explore how Unleash Live is redefining what’s possible in the digital industry. Read more about our collaboration and the innovations we’re launching here.

Unlocking Airport Profitability with Visual Analytics

getstarted@unleashlive.com (Unleash Live) — Tue, 25 Jun 2024 00:00:00 GMT

The aviation industry is a complex network of intricate operations and multifaceted services, with airports at its financial core. These connectivity hubs serve as gateways to the world, hosting many income-generating activities. While aeronautical services, including fees and charges imposed on airlines and passengers, constitute the primary source of revenue, airports also rely heavily on non-aeronautical services such as retail, commercial ventures, and property rentals. Let's delve into the Profit & Loss (P&L) impact of visual analytics on airport profitability, uncovering how it uniquely influences the core income drivers for these essential aviation hubs.

Visual Analytics - The Game-Changer

Airports face a unique challenge, unlike the airlines that operate within their confines, they have limited access to passengers and cargo once they leave the airport facilities. However, airports do have a goldmine of data at their disposal during transit. Visual analytics is the game-changer in this scenario, transforming specialized airport services in four key areas: 1. Passenger movement, 2. Airside services, 3. Safety and security, and 4. Cargo handling.

1. Passenger Movement - Enhancing Efficiency and Experience

An airport's mission is to transport passengers to and from an aircraft while ensuring their comfort. Additionally, airports aim to entice passengers to spend more time in revenue-generating retail areas. Unfortunately, bottleneck areas like curbside drop-offs, security checks, and customs processes often react to demand and rely on unreliable manual oversight. This can negatively impact passenger volume, passenger experience, and staff productivity, the core income drivers. Visual analytics, however, can make a significant difference in these areas:

Curbside Management: Visual analytics can monitor real-time traffic and drop-off patterns at curbsides, identifying vehicle dwell times, congestion, and bottlenecks. This information enables efficient deployment of airport staff and proactive measures. Even a modest 5% improvement in curbside utilization can be equivalent to extending the curbside by 15 meters, accommodating 20 additional vehicles during peak hours. Such data insights guide capital investments and operational enhancements and reduce labor costs.
Queue Monitoring and Management: AI queue management reduces waiting times, leading to improved passenger experiences, heightened customer satisfaction, and increased retail sales. Enhanced passenger flow encourages longer stays in shopping and dining areas, ultimately boosting non-aeronautical revenue.

Double Parking AI App for Curbside Management

2. Airside Services - Optimizing Asset Utilization

Airports generate a significant portion of their revenue from air service operators using their airside assets. The key income drivers here are asset utilization and minimizing asset maintenance costs. Fees are often calculated in lump sums, relying on service operators or manual estimations, which can lead to revenue discrepancies. Visual analytics can help in various ways:

Bay Ramp/Chocks On-Chocks Off: Visual analytics can automate inspections, reducing labor costs and minimizing downtime through automatic alerts and expedited inspections.
Foreign Object Detection: Automated detection systems can prevent foreign objects on runways, enhancing safety and reducing operational disruptions.

3. Safety and Security - Cutting Costs Through Automation

Visual analytics can reduce the need for manual monitoring, thus decreasing the cost of security personnel. AI-driven video analytics efficiently monitor perimeters, reducing security staff requirements and costs.

It also assists with use case scenarios such as:

Suspicious Behavior Detection: AI can quickly identify suspicious behavior, enabling security personnel to respond promptly and prevent potential security incidents.
Perimeter Monitoring: Continuous AI monitoring helps prevent unauthorized access and reduces the likelihood of security breaches and associated costs.
Unattended Baggage: AI monitoring helps prevent unauthorized access and reduces the likelihood of unattended baggage issues and associated costs.

Baggage Detection AI App

4. Cargo Management - Monetizing an Untapped Resource

Cargo movement is a growing concern for airports worldwide, yet it remains the least monetized area. Visual analytics can create new revenue streams for airports while improving cargo traffic management, including:

Speed of Transit: Visual analytics provide real-time accountability and instant inventory management for cargo movement, reducing turnaround times.
Defect Identification: Early identification of damaged goods reduces losses and the need for returns.
Customer Experience: Real-time tracking enhances the customer experience, boosting loyalty and revenue.
Productivity: Visual task assignment and instant inventory management improve overall productivity.
Added Capacity: Preventative maintenance for cargo handling assets improves available capacity and turnaround time.
Theft Detection and Prevention: Reduced security personnel and insurance costs through better monitoring and prevention.
Regulatory Compliance: Faster reporting and adherence to regulations, reducing compliance costs.

In conclusion, visual analytics transforms the aviation industry by optimizing airport revenue drivers. The impact is profound, from enhancing passenger experiences and optimizing asset utilization to cutting security costs and monetizing cargo services. As the aviation sector evolves, visual analytics will continue to play a pivotal role in shaping its future, ensuring profitability and efficiency in an increasingly competitive landscape.

Learn more.

Paving the Way for Net Zero with Real-Time Video Analytics in Transport

getstarted@unleashlive.com (Unleash Live) — Wed, 22 May 2024 00:00:00 GMT

Introduction

In the fast-paced world of transportation, where every second counts and environmental concerns are at the forefront, Unleash Live stands as a game-changer. This cutting-edge technology harnesses the power of real-time video analytics to transform how we manage traffic and road networks. With the aim of delivering world-class AI results with near-zero latency, Unleash Live not only enhances efficiency but also contributes significantly to the global effort towards achieving Net Zero emissions. In this blog post, we'll delve into how Unleash Live is shaping the future of transportation through data-driven decision-making.

The Power of Real-Time Video Analytics

Unleash Live brings the potential of real-time video analytics, making it accessible on any device, anytime, and anywhere. This technology empowers transportation authorities, businesses, and individuals to make informed decisions that can profoundly impact traffic flow, emissions reduction, and overall sustainability. The data is derived in real-time from your video network. We always begin every project with a video network audit and health check to ensure we can analyze every frame.

Improve Corridor Flow Rate

When a traffic corridor experiences less congestion, a domino effect leads to reduced carbon emissions. Fewer cars mean less idling, a notorious culprit for wasting fuel and spewing pollutants. Traffic can flow more smoothly, allowing vehicles to maintain a steady pace that optimizes fuel efficiency. The overall volume of traffic also plays a role. Even if each car maintains the same emissions rate, fewer vehicles on the road significantly decrease total carbon output.

AI and computer vision are powerful tools in this fight against traffic congestion. By analyzing real-time traffic patterns, AI can predict bottlenecks and congestion points before they arise. This allows for proactive measures like dynamically adjusting traffic lights, rerouting traffic around incidents, or even implementing congestion pricing during peak hours. Additionally, AI can identify heavily used routes by high-emission vehicles like trucks, paving the way for designated low-emission zones or optimized routes for these specific vehicles. With this intelligent traffic management, cities can significantly reduce the corridor flow rate, leading to smoother traffic flow, less idling, and a significant decrease in carbon emissions.

Vehicle Classifications and Active Transport Statistics

Unleash Live goes beyond simple traffic monitoring; it provides valuable insights into vehicle classifications and active transport statistics. By distinguishing between different types of vehicles, such as cars, buses, bicycles, and pedestrians, the system helps authorities optimize transportation infrastructure and services. For instance, it can assist in allocating dedicated lanes for buses or creating safer pedestrian pathways, promoting sustainable and efficient modes of transport.

Contributing to Net Zero Emissions

The most compelling aspect of Unleash Live, and its AI computing is that it can contribute to Australia’s Net Zero emissions goal. This technology enables informed decision-making that directly impacts carbon output by continuously monitoring traffic and road networks and providing actionable insights. It allows transportation authorities and businesses to quantify how much carbon they emit and how much they can save through smart interventions. This data-driven approach is crucial to achieving sustainability in the transportation sector.

Summary

Unleash Live is not just another technological advancement; it's a powerful tool that can shape the future of transportation. With its world-class real-time video analytics capabilities, it empowers stakeholders to make informed decisions, reduce corridor flow rates, optimize transportation infrastructure, and contribute to the global effort to achieve Net Zero emissions. The days of traffic jams, inefficiency, and unnecessary emissions are numbered, thanks to Unleash Live's AI in real-time on any device. Embrace this technology and join the journey toward a greener, more efficient transportation system.

Learn more.

Unlocking Advanced Infrastructure Inspections with Unleash & Skydio

getstarted@unleashlive.com (Unleash Live) — Mon, 12 Feb 2024 00:00:00 GMT

Unleash Live has partnered with Skydio to make energy infrastructure inspections faster, safer, and more efficient. The new cloud-to-cloud integration connects Skydio drone data directly to the Unleash Live platform, enabling seamless uploads, automated organization, and instant AI analysis, no SD cards or manual steps required.

Streamlined Drone-to-Cloud Workflow

With this integration, enterprise users can:

Automatically upload imagery from Skydio drones to Unleash Live
Store, search, and share media across teams instantly
Eliminate manual file transfers and data handling delays

Simply plug in your drone, and your captured media syncs securely to the cloud, ready for AI-powered inspection and reporting.

Smarter Analysis, Faster Results

Once data is uploaded, Unleash Live’s computer vision AI takes over and you can:

Run automated defect detection using 40+ AI models
Detect powerline faults, corrosion, cracks, or equipment wear
View results in real time through the Unleash Live dashboard

This means your field teams spend less time sorting data and more time acting on insights.

Designed for Scale and Simplicity

At the core of the integration is Unleash Live’s Media Drive, which centralizes and structures your visual data.

It’s compatible with a wide range of asset types, from power infrastructure to renewable energy, and works across your existing operations, cloud, edge, or hybrid.

A Step Forward for Digital Inspections

Unleash Live's CEO, Hanno Blankenstein explains:

> “By connecting Skydio’s advanced drones with our AI-driven inspection platform, we’re closing the gap between data capture and actionable insight. This integration helps enterprises scale efficiency, safety, and automation across their entire network.”

The Result: Faster, Safer, More Intelligent Inspections

Reduce manual upload and review time by over 80%
Detect faults earlier and prevent costly failures
Enable secure, real-time collaboration between teams
Centralize your media library for AI-driven insights

The Unleash Live and Skydio integration represents a significant milestone in the realm of infrastructure and asset inspections. It combines the strengths of two industry leaders to simplify data management and streamline the analysis process, allowing enterprises to maximize the potential of their inspections.

Unleash the power of AI-driven analysis with Unleash Live and Skydio and embrace a new era of efficiency, safety and cost-effectiveness in infrastructure inspections.

Experience how Unleash Live and Skydio simplify visual data management and unlock the power of machine vision.

Book a demo

Unleash live has won multiple AI industry awards

AI Video Analytics Advancing Energy Operations

getstarted@unleashlive.com (Unleash Live) — Thu, 08 Feb 2024 00:00:00 GMT

In the ever-evolving energy landscape, the integration of cutting-edge technology has become essential for advancing efficiency, sustainability and safety. Amidst this technological revolution, video analytics emerges as a game-changer, offering unprecedented insights and solutions across energy sectors such as utilities and renewables. Let's delve into how this transformative technology is reshaping these critical industries.

Empowering Utilities for Sustainable Operations

Video analytics offers invaluable capabilities for optimizing operations and ensuring reliability in the utility sector, where energy production and distribution are paramount. Through real-time video monitoring (using automated remote drones) of infrastructure such as power lines, substations, and renewable energy installations, utilities can detect anomalies, predict maintenance needs, and prevent costly downtime. By harnessing the power of AI-driven insights, utilities can streamline maintenance schedules, minimize disruptions, and enhance the resilience of their infrastructure, ultimately contributing to a more sustainable energy ecosystem.

Transforming Renewable Energy with Smart Monitoring

Renewable energy sources play a pivotal role in the transition towards a greener future. Video analytics plays a crucial role in maximizing the efficiency and output of renewable energy assets such as solar farms, wind turbines and hydroelectric plants. By analyzing video feeds from these installations in real-time, operators can identify performance issues, optimize energy production and ensure the seamless integration of renewable energy into the grid. Furthermore, video analytics enables proactive maintenance strategies, reducing downtime and enhancing the reliability of renewable energy systems.

Leading the Rapid Evolution of Video Analytics

Unleash Live emerges as a pioneering force, committed to driving innovation and transformation across the energy industries. With its state-of-the-art platform, Unleash Live empowers utilities and renewable companies to harness the full potential of video analytics for enhanced efficiency, safety and sustainability. From real-time monitoring of operations to predictive maintenance solutions, Unleash Live enables organizations to unlock actionable insights and drive continuous improvement.

Shaping the Future of the Energy Industry

As we embrace the era of Industry 4.0, video analytics emerges as a cornerstone technology reshaping the landscape of energy companies such as utilities and renewables. By leveraging AI and machine learning, this transformative technology enables organizations to optimize processes, minimize waste, eliminate downtime and enhance workplace safety. As the journey towards sustainability and efficiency continues, video analytics will play an increasingly pivotal role in driving innovation and propelling resource industries into the future.

Tailings Dam AI App Solution - Unlocking Efficiency and Sustainability

getstarted@unleashlive.com (Unleash Live) — Thu, 16 Nov 2023 00:00:00 GMT

Unleash Live Tailings Dam Solution:

Devices - Unmanned aerial vehicles (UAVs)

App - Carbonation Analysis AI

Mining operations, particularly the management of tailings storage facilities (TSFs), demand precision and efficiency. Our client, a global leader in mining, recognized the challenges in accurately measuring salt and water content in their production process, leading to downstream issues and productivity concerns.

Challenges in Tailings Dams: Unveiling Complexity in the Mining Industry

The intricacies of managing tailings dams in the mining industry unfold a tapestry of challenges, underscoring the need for advanced solutions. Let's delve deeper into the multifaceted challenges that often characterize this critical aspect of mining operations:

Manual Carbonation Assessment: The traditional approach to carbonation assessment involves laborious manual processes. Human intervention for gauging carbonation levels in tailings dams can be time-consuming and prone to errors. The sheer scale and complexity of these operations amplify the challenges associated with a manual assessment.
Fluctuating Conditions in Tailing Dams: The very nature of tailing dams introduces a dynamic environment. Fluctuations in conditions, such as changes in tailing compositions and the introduction of new tailings, necessitate a level of precision that manual methods struggle to achieve. This poses a constant challenge for maintaining accurate and up-to-date assessments.
Engineering Solutions at the Micro Level: Tailings dams require not just engineering solutions but precision engineering solutions. The stability and safety of these structures hinge on intricate details, and any oversight can have significant consequences. Achieving this precision demands a sophisticated approach that can adapt to the ever-changing nature of tailing dam conditions.
Crucial Role of Salt and Water Content: The measurement of salt and water content in the production process is a linchpin for achieving optimal production outcomes. Inaccuracies in these measurements can lead to downstream issues, impacting both the quality of production and the overall efficiency of the mining operation.
Environmental Considerations: Managing tailings dams isn't solely about production efficiency; it involves navigating high-risk conditions with potential environmental consequences. Striking a balance between productivity and sustainability is a constant challenge, particularly given the potentially far-reaching impacts of dam failures.
Data Management and Reporting: As data volumes grow exponentially, the challenge lies not only in collecting and analyzing data but also in transforming it into meaningful, actionable insights. The sheer scale of information generated in tailings dam operations requires advanced analytics and reporting capabilities to derive value from the data deluge.

Addressing these challenges requires a paradigm shift in the approach to tailings dam management. Advanced technologies, such as drone-based inspections and real-time AI analytics, are emerging as transformative solutions, offering a way forward in reshaping how the mining industry navigates the complexities of tailings dam operations.

Case Study - A Large Mining Enterprise's Dilemma:

Managing Tailing Storage Facilities (TSF), including tailing ponds, dams, and residue disposal areas, posed high-risk challenges summarized above. The consequences of failure were significant, demanding a proactive solution to ensure productivity, safety, and environmental sustainability.

How It Was Done: Unleash Live introduced an innovative solution utilizing on-site UAVs and Carbonation Analysis AI to measure salt and water content in real-time. The data generated was seamlessly integrated into the enterprise’s systems via APIs, providing up-to-date insights into the composition of TSF assets.

Benefits Realized: Automated inspections enabled swift adjustments to engineering processes, optimizing the carbonation process for enhanced tailings stability.

Reducing the Carbon Footprint: Improved carbonation processes contributed to safe carbon sequestration, reducing greenhouse gas emissions and offsetting operational carbon footprints.

Automated Report Production: AI analysis streamlined reporting, resulting in a 10X faster time to insights, facilitating quicker decision-making.

Reduced Inspection Time: Drones covered wider areas efficiently, providing insights over hazardous locations with minimal risk and thus, reducing overall inspection time.

Carbon Analysis AI

Unleash Live's Carbon Analysis AI - A Senior Mining Engineer's Perspective: "If we could get this data daily, it would be most valuable. I currently eye ball the assessment in daily runs around the lakes."

Real-time Insights Lead to Action: Our mining client’s adoption of advanced technology for monitoring tailings storage facilities prevents environmental damage and financial losses. This cost-efficient solution reduces operational costs and ensures safer working conditions, aligning with the enterprise’s commitment to efficiency and competitiveness.

Explore Data Dashboards from Unleash Live: Visit unleashlive.com to book a session with our specialists, experience live streaming video and witness the power of AI analytics in reshaping environmental monitoring.

Discover how Unleash Live's range of mining solution AI apps, including the Tailings Dam App, are transforming mining and environmental management today.

Learn more.

Weidmuller & Unleash Live Join Forces for Advanced Wind O&M Solutions

getstarted@unleashlive.com (Unleash Live) — Tue, 05 Sep 2023 00:00:00 GMT

Weidmuller, a global leader in electrical connection, transmission and automation solutions, with their BLADEcontrol® rotor blade monitoring, is proud to announce the collaboration with Unleash Live, a cutting-edge AI provider of video analytics and computer vision software for automated operations and maintenance.

This strategic partnership aims to transform the wind industry by offering innovative solutions that enhance operational efficiency, safety and performance. The collaboration is a combination based on Weidmuller’s Rotorblade CMS BLADEcontrol® that could initiate a drone flight hosted by Unleash Live.

Unleash Live's Innovative Video Analytics for Wind Turbine Inspections

Unleash Live specializes in harnessing the power of video analytics and computer vision technology to optimize a broad range of asset management operations, including wind turbine inspections. By utilizing advanced drone technology and real-time data analysis, Unleash Live's software enables rapid and accurate identification of potential issues, structural anomalies and maintenance requirements. The results deliver reduced downtime, increased turbine lifespan and enhanced worker safety. Unleash Live's expertise aligns seamlessly with the goals of Husum Wind 2023 - to serve as a premier platform for showcasing innovative technologies that drive the wind industry forward.

Unleash Live and Weidmuller's Collaboration - Comprehensive Solutions for the Wind Sector

At the heart of this partnership is Weidmuller's Rotorblade CMS BLADEcontrol®, condition monitoring for higher availability and optimum efficiency. The well-known condition monitoring system increases turbine availability, reduces downtimes and ensures optimum efficiency. With broad knowledge and many years of experience in the wind power industry, it brings transparency to increase cost efficiency, revenue, and plant safety.

The BLADEcontrol® system, with its advanced capabilities and seamless integration with Unleash Live's live streaming platform, enables users to effortlessly and safely fly automated drones.

Imagine the possibilities that this partnership presents. Companies can now leverage the power of drones to enhance their operations, whether it be for aerial inspections, surveillance or capturing required contextual footage.

The combined offerings contribute to optimizing wind farm operations, increasing energy efficiency, and ensuring the reliable transmission of power. Their solutions encompass reliable power distribution, intelligent monitoring, and data-driven insights, all of which align perfectly with the demands of modern wind farms.

Husum Wind 2023 - A Crucial Industry Gathering

Husum Wind, known as the German wind trade fair and Congress, is a pivotal meeting point, workbench, and shop window for the wind industry. The event provides an ideal platform for industry leaders, innovators, and experts to exchange ideas, showcase advancements, and discuss emerging trends in the wind sector. Weidmuller is looking forward to participating in this prestigious event. The experts will be happy to show how our joint solutions can increase the efficiency, sustainability, and profitability of wind energy projects.

Visit us at Husum Wind, Germany - September 12-15, 2023

We invite all attendees to visit the Weidmuller booth in Hall 5, booth 5B32, at Husum Wind 2023, taking place September 12-15 in Husum, Germany. Learn how our joint solutions will transform the wind industry. We look forward to meeting you and sharing our vision of a connected, efficient, and sustainable future for wind energy.

For more information on the joint initiative, read our brochure or visit our sites:

Weidmuller - BLADEcontrol®

Unleash Live - Founded in 2016 with offices in the USA, Australia, and Europe. Unleash Live works directly with our enterprise customers globally and serves businesses through leading channel partners.

We are enabling new experiences and business models through a scalable software platform for collecting, storing, and distributing data from connected intelligent machines. Our connected cloud platform is changing how people interact with networked devices in the field, providing an innovative solution for enterprises.

Capture, automated A.I. insights, and dashboard analysis with Unleash live

Disclaimer: This press release contains forward-looking statements that are based on current assumptions and forecasts of future events. Actual results may differ materially from those anticipated. The company undertakes no obligation to update or revise any forward-looking statement, whether as a result of new information, future events, or otherwise.

Which is the Fastest File Management Platform for Media Uploads?

getstarted@unleashlive.com (Unleash Live) — Tue, 20 Jun 2023 00:00:00 GMT

In today's digital landscape, the ability to upload large video and image files and folders efficiently is imperative for businesses to stay ahead of the competition and ensure their ongoing success. While popular platforms like Google Drive, SharePoint, and Dropbox are readily available, those seeking a significant improvement in video and image upload speed should turn to Unleash Live's Media Drive. With this innovative platform, users can experience a remarkable fivefold increase in upload speed, allowing them to work more efficiently and productively.

This article shares how Media Drive is taking file management to new heights by offering lightning-fast upload speeds.

Unleashing the Power of Speed and Direct Syncing

Media Drive leverages advanced technology to optimize upload speeds, ensuring a seamless and speedy file transfer experience. Using optimized protocols and infrastructure, Media Drive drastically reduces upload time, allowing users to focus on their work without hindrance. Whether it's images, videos, or files from CCTV, Drones, Body cam or Mobile Phones, everything is directly synced into the Media Drive.

Five Times Faster than Competitors

Compared to Google Drive, SharePoint, and Dropbox, Media Drive excels in upload speed, offering a remarkable fivefold improvement. This advantage allows users to save valuable time and be more productive, especially regarding large files and folders.

Comparison of cloud storage service performance vs Unleash live's optimized upload and storage

\ All the tests were taken within the same network of about 50Mbps upload speed.\\

Streamlined User Experience

Media Drive provides an intuitive and user-friendly interface, making file management a breeze. Uploading files and folders is effortless with Media Drive's simplified drag-and-drop functionality, eliminating unnecessary steps and boosting overall efficiency. Read this article to learn how to use Media Drive.

Robust Security Measures

While speed is essential, security remains a top priority. Media Drive incorporates state-of-the-art security protocols like encryption, access controls, and regular data backups to safeguard sensitive data. Users can trust Media Drive to protect their valuable files throughout the upload process. Read this article to learn about security in Unleash Live.

Seamless Collaboration

Media Drive offers various collaborative features to enhance teamwork, with roles like Admin, Contributor, and Viewer for seamless collaborations of any asset inspection or project type. Users can effortlessly share files and folders with team members, granting controlled access and promoting real-time collaboration, all while maintaining the exceptional upload speed advantage.

Summary

Media Drive is the ultimate file and folder upload solution in today's fast-paced world. With its exceptional speed, streamlined user experience, robust security measures, and seamless collaboration capabilities, Media Drive outperforms leading competitors like Google Drive, SharePoint, and Dropbox.

By choosing Media Drive, businesses can enjoy a fivefold increase in upload speed, empowering them to work more efficiently and achieve greater productivity.

Get in touch for a demonstration

Unleash Live: Industry Perspectives

Mining's Data Credibility Problem Is Getting Worse

The Data Volume Trap

The AI Failure Pattern Confirms the Root Cause

The Workforce Pressure Compounds the Problem

What the Report Validates

The Compounding Risk of Inaction

Unpacking what NVIDIA GTC 2026 Means for Infrastructure Operators

What NVIDIA Is Actually Building

Unpacking The Key Insights

1. Processing velocity is an operational variable, not a technical specification

2. Vision Language Models changed the deployment economics

3. Hybrid edge and cloud is not a compromise, it is the architecture

What This Means for Utilities, Mining, and Transport

Born in NSW. Deployed Globally.

The Practical Implication for Enterprise Programs

Deepening NVIDIA Integration Across Cloud & Edge Infrastructure

The Unleash Live platform now runs on NVIDIA L4 Tensor Core GPUs and Vision Language Models, extending production-grade computer vision performance across the world's most asset-intensive operations.

Key takeaways

Processing at the Speed Operations Require

Vision Language Models: Operational Queries Without Retraining Cycles

Deployed Across the Full Infrastructure Stack

Vertical Impact

What This Means for Enterprise Deployment Programs

Tackling Mining’s Biggest Challenges

1. AI Strategy, Adoption, and Maturity

2. Data Governance, Integration, and Architecture

3. The Future Workforce and Change Management

4. Operational Efficiency, Autonomy, and Next-Gen Tech

5. Security and Operational Resilience

Summary

A Win for Responsible AI and Why It Matters More Than Ever

The Smartest Way for Utilities to Spend US$1 Trillion

Why drone automation plus AI Asset inspections are the best ROI play

What you should fund first in your modernization roadmap

Why this move stands out amid billions of dollars of CapEx

Why AI for Industry is Entering Its Most Important Phase

The global industrial AI race is no longer theoretical. After years of early trials and hype cycles, we are now seeing large-scale deployments that deliver measurable results. This is the moment where Machine Learning AI is moving from niche applications into mainstream operations.

AI Mining: Unleash Live & Hexagon Lead the Next Wave of Efficiency

A Strategic Integration for Smarter Mining

Integrated workflow

Real-Time Mining Use Cases

1. Oversize Rock Detection at the Crusher

2. Excavator Tooth Fall Detection

3. Tailing Dam Monitoring

4. Dust Monitoring and Compliance

Why This Matters: Reducing Downtime, Improving Safety

The Future of Mining: Where Unleash Live and Hexagon Go Next

Conclusion

The Future of Infrastructure Monitoring: 3 Trends to Watch

1. AI Is Moving From Post-Processing to Real-Time Insight

2. Drone Regulation Is Catching Up to Real-World Demand

3. Remote Operations Are Becoming the Norm

What This Means for You

Want to see it in action?

Why 'Let It Crumble' Isn’t a Strategy for Infrastructure Monitoring

Podcast Conversation With Expert, Arnaud Thiercelin, Chief Product Officer with Orga

The Core Problem: Labour Gaps and Low Visibility

What is Needed: Early Detection, Real-Time Streaming, Actionable AI

Why This Matters Now

Six-Step Guide to Unlocking Insights with an AI-Driven Video Platform

1. Camera Type and Placement

2. Deployment Options

3. Connectivity Options

4. AI Applications

5. Data Frequency, Output Format and Distribution

6. Trial/Proof of Concept vs. Production

An Example of Unleash Live’s AI Apps Menu for the Mining Sector

Summary

Unlocking Operational Value with Computer Vision

The Problem with Most Computer Vision Solutions

Transforming Data into Operational Value

Conclusion

Unleash Live Joins the Siemens Xcelerator Ecosystem

Accelerating Digital Transformation

Expanding Industrial Automation Use Cases

Transforming Field Operations with AI

Looking Ahead

Unlocking Airport Profitability with Visual Analytics

Visual Analytics - The Game-Changer