Unleash Live: Operational Intelligence

What Thermal Inspection Imaging Actually Sees

getstarted@unleashlive.com (Unleash Live) — Mon, 20 Apr 2026 00:00:00 GMT

Why thermal data belongs inside your inspection record

Every piece of infrastructure has a temperature. Transformers run warm under load. Electrical connections heat up when current meets resistance. Solar panels with failing cells generate hotspots that look identical to functioning ones from the outside, but tell an entirely different story in infrared.

Thermal imaging makes that story visible

It is not a more sophisticated version of photography. It is a different category of observation. A standard camera captures reflected light. A thermal camera captures emitted heat, translating the infrared radiation from a surface into a temperature map of that surface. Two assets that look identical to the eye can tell completely different stories in thermal: one running normally, one approaching a failure mode that no visual inspection would ever flag.

That distinction matters enormously in asset-intensive industries, and it shapes how inspection programs in utilities, renewables, oil and gas, and mining are increasingly structured.

The faults that only heat reveals

Visual inspection has a firm ceiling. It confirms presence, damage and gross physical deterioration. It cannot confirm whether a component is operating within its thermal parameters. That gap is where thermal imaging earns its place in a maintenance and inspection program.

In electrical infrastructure, resistance anomalies in connections, insulators and switching gear produce localised heating long before they produce visible symptoms. A failing electrical joint on a distribution network may look unremarkable for months while running 68-104°F/20-40°C above its neighbors, gradually degrading insulation and heading toward an uncontrolled failure event. Thermal inspection, done on a regular cycle, catches the signature early. The intervention cost of tightening a connection or replacing a component at that stage is a fraction of what it costs to respond to an outage.

In solar energy, the failure modes are subtler but commercially significant at scale. Bypass diode failures and cell-level defects create hotspots that reduce energy yield from the affected string while the plant appears to be operating normally. A large solar farm running a degraded string for an extended period is losing revenue that has no obvious diagnostic trail in standard operational monitoring. Thermographic inspection of the panel array, typically from a drone-equipped inspection program, surfaces those anomalies directly. The difference between a functioning panel and a hot-spotted one is invisible in the standard RGB image (standard visual image) and obvious in thermal.

In oil and gas, thermal imaging supports heat exchanger performance monitoring, insulation integrity across pipeline corridors, and equipment thermal profiling on critical plant. In mining, electrical switchgear, motor windings, conveyor bearings and hydraulic systems are all candidates for periodic thermal inspection. A conveyor bearing approaching failure will betray that condition in its temperature signature before it betrays it in noise, vibration or visual wear. Catching it in the thermal image is the difference between a planned bearing replacement and an unplanned production stoppage.

How thermal inspection programs are structured

Modern thermal inspection programs in heavy infrastructure are typically executed in one of two modes.

The first is aerial, using drone platforms equipped with dual-sensor payloads that capture both standard high-resolution RGB and radiometric thermal images simultaneously. A single flight over a distribution corridor, a solar farm or a substation returns both datasets in one pass. The RGB images provide physical context. The thermal images provide condition data. For large-scale infrastructure owners running inspection programs across multiple sites, this dual-capture approach has become standard operating procedure.

The second mode is fixed or mobile ground-based, using handheld or tripod-mounted thermal cameras for close inspection of specific equipment such as switchgear panels, motor housings and heat exchangers. This is complementary to aerial programs rather than a replacement.

In either case, the result is a radiometric thermal image file: an image that contains not just a visual representation of the heat signature but the actual temperature data behind it. In the DJI ecosystem, these files are stored as R-JPEG format, embedding the radiometric data inside the image file in a way that can be extracted, measured and analysed.

The workflow problem that most inspection teams already recognize

Here is where the operational reality gets complicated.

Thermal data captured during an inspection has historically required a separate tool to analyse. DJI Thermal Analysis Tool has been the default for operators using DJI payloads. It is a Windows desktop application. It is capable. It also lives entirely outside the inspection management system where the rest of the inspection record lives.

That means: fly the mission, return to base, export the thermal files, open the desktop application, check spot temperatures, export the results, then return to the inspection platform to annotate and report. Every step in that sequence is a potential point of failure: version control risks if files are modified outside the governed record, time overhead added to every post-flight review cycle, and thermal evidence that exists in two systems rather than one.

For inspection programs running hundreds of flights per year across multiple sites, that round-trip is not a minor inconvenience. It is a structural inefficiency with a measurable cost in analyst time and custody risk.

What has changed

Thermal image analysis is now built directly into Orb, Unleash live’s drone based asset inspection product, via Image Viewer, the full-resolution image review and annotation interface the Cloud platform.

When a radiometric thermal image is opened from Unleash live’s media management and storage system, Media Drive, the thermal toolbar appears automatically. Inspectors can click any point on the image to read its temperature. Four visualization palettes are available: Ironbow, Rainbow, White Hot and Black Hot, each suited to different inspection contexts. Temperature readings toggle between Celsius and Fahrenheit. Standard annotation workflows apply to thermal images the same way they apply to standard RGB captures.

The thermal data stays inside the inspection record and is directly correlated to the asset inspection imagery used for AI based condition assessment. The annotation happens in the same system. The review and approval workflow is unchanged.

For inspection programs also running dual-sensor payloads where thermal and RGB images land together in Media Drive, a companion capability addresses the triage problem directly. The IR filter in Media Drive's Type dropdown isolates all thermal images in the current view instantly. Mixed datasets from a single flight, potentially hundreds of files combining RGB and thermal, can be filtered to thermal-only in one click, routed to the specialist reviewer, and processed without manual identification or secondary workflows.

Thermal images are automatically classified on upload using existing EXIF, XMP and camera metadata. No manual tagging is required.

Thermal image support in image viewer: select temperature unit, adjust calibration, pick thermal colour palette.

Why this matters beyond the feature

The most important thing thermal inspection returns is early certainty: confidence that a component is within tolerance, or clear evidence that it is not. That evidence is only useful if it is handled with the same rigor as every other piece of inspection data.

Thermal files that leave the inspection platform for analysis and return as screenshots or exported reports are not governed in the same way as images that remain in a single auditable record from capture through annotation through reporting. For infrastructure operators with regulatory obligations around asset condition monitoring and maintenance records, that distinction is not administrative. It is a compliance and audit consideration.

Keeping thermal analysis inside the inspection record means the evidence chain is intact. The temperature reading, the annotation, the reviewer, the date and the asset record are all in one place. That is the standard that enterprise inspection programs should be working toward, and it is now available without changing the inspection workflow.

Filter standard RGB images and thermal images in image viewer.

See it in your next inspection

If your team is running thermal-equipped drones and currently routing that data through a desktop tool before it comes back into your inspection record, that workflow can be consolidated. Talk to your Unleash live contact about enabling thermal review in Image Viewer for your next inspection cycle.

From Image Capture to Operational Control

getstarted@unleashlive.com (Unleash Live) — Tue, 03 Mar 2026 00:00:00 GMT

Why Enterprise Visual Intelligence Is Becoming Essential for Modern Utilities

Reliability in energy distribution is non negotiable. Outages impact communities, disrupt operations, and erode confidence in critical infrastructure. Asset failures increase regulatory scrutiny and remediation costs. Late detection of defects or risks compounds operational exposure.

Utility leaders carry responsibility for improving asset resilience, reducing unplanned downtime, strengthening compliance reporting, and enhancing workforce productivity across geographically dispersed networks. Traditional inspection models struggle to keep pace with network complexity and the scale of modern infrastructure.

Enterprise visual intelligence changes the operating model. By standardizing detection and analysis through computer vision, a specialized subset of artificial intelligence that enables systems to process and interpret images and video, utilities convert visual data into structured operational insight. Manual review effort declines. Defect classification becomes consistent and auditable. Leaders gain a unified view of network health across regions. Maintenance shifts from routine cycles to risk based decisions grounded in data and measurable performance.

The operational impact is measurable. Inspection teams spend less time on repetitive manual analysis and more time addressing validated risks. Defects are identified earlier and classified consistently across regions. Cross team visibility improves coordination and supports faster decision making. Networks operate with greater reliability and resilience.

Moving From Image Collection to Enterprise Visual Intelligence

Utilities generate more visual data today than at any point in their history. Inspection programs capture imagery from drones, vehicle mounted cameras, fixed monitoring systems, contractor uploads, and legacy archives. The volume of data is significant. The operational challenge is even greater.

Image capture alone does not deliver insight. Many utilities face inconsistencies in image quality, fragmented mission planning, and variable standards across regions and contractors. Scaling inspection programs across distributed networks introduces governance and coordination challenges.

The core constraint is not access to imagery. It is what happens after capture.

Visual data must be structured, governed, and transformed into operational intelligence that drives timely and defensible decisions. Without this transformation, imagery remains an asset that is difficult to operationalize at scale.

The Fragmented Inspection Lifecycle

Traditional inspection workflows often operate in silos. Planning occurs in one system, mission execution in another, and image storage in separate repositories. Condition assessments are documented in spreadsheets, reports are generated independently, and work orders are created outside the inspection workflow.

This fragmentation limits operational effectiveness. Cross team visibility is reduced, escalation pathways slow, and decisions are made without full context. Insights do not flow seamlessly from inspection to action.

Enterprise utilities require integrated workflows that consolidate capture, processing, and analysis within a governed environment. Computer vision standardizes detection and classification, creating a consistent operational foundation across the network.

Improving inspection quality in the field remains essential. Structured mission planning, asset aware flight paths, and consistent capture standards enhance data quality. However, field optimization alone does not solve the governance challenge. High quality imagery must be ingested, analyzed, and operationalized within an enterprise visual intelligence framework.

The opportunity lies at the intersection of field execution and governed intelligence.

Mission planning with the drone conducting automated power pole inspections.

From Visual Data to Governed Intelligence

Inspection data often resides across multiple systems used by vegetation management teams, asset integrity specialists, and maintenance operations. Fragmentation limits cross team visibility and slows escalation pathways. Decisions are made with incomplete information.

Centralized capture and analysis create shared visibility across operations, asset management, and compliance functions. Enterprise grade visual intelligence requires governed ingestion, asset tagged storage, and structured metadata that supports searchable retrieval by asset ID or defect type.

Secure and auditable data management strengthens governance and compliance. Structured outputs integrate directly with enterprise systems such as EAM and ADMS, enabling operational workflows that translate insight into action.

Unified intelligence improves coordination, supports clear audit trails, and delivers measurable performance outcomes. It becomes part of the operational backbone rather than a disconnected analytics layer.

Without this structure, utilities face delayed defect identification, inconsistent classification, and limited cross team visibility. Governance transforms imagery into operational infrastructure.

Standardizing Detection Across the Network

Manual inspection processes introduce variability. Different inspectors may interpret defects differently, severity scoring can drift over time, and regional standards may diverge. Contractor driven workflows can amplify inconsistency.

Computer vision standardizes detection and classification within a governed framework. Automated models identify vegetation encroachment, insulator contamination, corrosion, and structural degradation with consistent criteria. Defect classification becomes repeatable and defensible across the network.

The value of standardization is not limited to speed. It ensures consistency in classification and reporting, creating a single operational view of network health. Maintenance decisions are informed by data rather than subjective interpretation.

High severity contamination detected on an polymer insulator by the computer vision system.

Reducing Cognitive Load While Preserving Expertise

Computer vision is designed to enhance engineering expertise, not replace it. Inspection teams often review thousands of images per program, creating cognitive burden and operational inefficiency.

Automated detection accelerates identification and prioritization of risks. Subject matter experts validate findings and determine remediation actions. This human in the loop model preserves domain expertise while improving operational efficiency.

The approach delivers greater consistency, fewer false positives, and increased confidence in defect classification. Maintenance cycles become faster and more targeted. Inspection teams focus on decision making rather than repetitive analysis.

Enterprise visual intelligence reduces cognitive load while strengthening operational control.

Making Insights Directly Actionable

Detection alone is insufficient. Operational intelligence must translate insight into action. Defects should be linked to asset IDs, severity scores aligned to maintenance frameworks, and structured outputs integrated with enterprise systems.

Maintenance workflows and regulatory reporting processes benefit from structured intelligence. AI without integration remains annotation. AI with integration becomes operational capability.

Actionable intelligence drives measurable outcomes. Networks operate with greater reliability, compliance is strengthened, and operational efficiency improves.

Actionable report showing asset severity levels and progress of review tagging.

Visibility Across the Enterprise

Modern utilities operate across dispersed geographies and complex operational environments. Fragmented inspection workflows limit organizational visibility. Teams see only partial information.

Enterprise visual intelligence creates network wide visibility. Cross region defect analysis, workforce coordination, and audit trails support operational governance. Program level performance becomes measurable and transparent.

Inspection outcomes shift from isolated reports to enterprise insights that inform strategic decision making.

The Strategic Shift

Utilities must improve inspection planning and execution while ensuring that imagery translates into operational outcomes. The future of utility inspection combines coordinated field operations with enterprise grade visual intelligence.

Capture, process, detect, and act defines the operational workflow. Each stage strengthens governance and insight. Integrated systems deliver scalability and consistency across distributed networks.

Automated Asset inspection workflow.

Utilities that embrace this shift will achieve greater operational control, improved network reliability, and measurable performance outcomes. Visual intelligence becomes a strategic capability rather than a supporting function.

Learn more.

Embedding AI to Optimize Operations Across Enterprises

getstarted@unleashlive.com (Unleash Live) — Tue, 17 Feb 2026 00:00:00 GMT

Every organization is trying to make sense of the fast moving AI landscape. Asset and infrastructure heavy sectors such as energy (distribution, renewables, oil & gas), resources & mining, and government need to modernize operations while keeping people safe, assets productive, and systems stable. The real challenge is selecting technology that works across every site, team, and workflow and building an AI ecosystem that can scale.

Unleash Live facilitates organizations to reach this faster with computer vision and real time video intelligence that integrates with existing systems. For energy, this includes automated drone image capture for example pole and/or pipeline inspections. For mining and emergency response, this extends to live video streaming where safety of people and assets is critical. In every case, the platform captures visual data from any camera or drone and delivers immediate insights for operations teams.

AI Only Delivers Value When Operationalized & Deployed Strategically

In asset-rich industries, AI does not create value simply by existing. Models alone do not change outcomes. Value is created when AI is embedded into operational workflows that people already trust and use. This means consistent data capture, repeatable inspection processes, human validation where required, and seamless integration into planning, maintenance, and control systems. Organizations that focus only on model performance often stall at pilot stage. Those that focus on operationalization move faster from insight to action.

At scale, the challenge is not whether AI can detect an issue, but whether it can do so consistently, across thousands of images, assets, sites, and environments, without creating friction for field teams or control rooms. The organizations that succeed treat AI as part of an operating model, not as a standalone technology experiment or pilot.

From Visual Data To Operational Decisions

Modern operations generate vast amounts of visual data from drones, fixed cameras, and mobile devices. On its own, this data has limited value. The real impact comes when visual data is analyzed quickly, enriched with context, and translated into decisions upon which operators can act. AI accelerates this process by processing imagery at speed, identifying risks and anomalies, and surfacing what matters most.

Operational issues and asset faults can be fed directly into Asset Management and Outage Management Systems for optimized response coordination.

When combined with live streaming and GIS context, AI insights become even more powerful. Operators can understand not just what is happening, but where it is happening, how it relates to surrounding assets, and what the likely operational impact is. This context enables faster triage, better prioritization, and more confident decision-making, particularly in time-critical situations such as outages, incidents, or severe weather events.

Utilities & Renewables: Scaling Inspection & Resilience

Utilities and renewable energy operators manage vast, distributed networks where manual inspection alone cannot keep pace with operational demands and requirements to reduce costs. AI enables these organizations to reduce inspection cycles, detect faults earlier, and prioritize maintenance based on risk rather than time alone. Automated image capture from drones ensures consistency, while AI provides rapid, repeatable evaluation of asset condition across poles, lines, substations, solar arrays, and wind turbines.

Critically, Unleash Live’s AI supports a closed-loop model. Imagery is captured in the field, analyzed at scale, reviewed by subject matter experts where required, and fed directly into maintenance planning and enterprise systems. Over time, models are retrained and improved, increasing accuracy while reducing manual effort. The result is improved network resilience, reduced outage duration, safer inspections, and better use of scarce operational resources.

AI detection of contaminated polymer insulators

Cities & Transport: Safety & Consistency At Scale

In cities and transport networks, safety outcomes depend on consistency. AI enables authorities to apply the same standards across hundreds or thousands of locations, regardless of local conditions or staffing constraints. Continuous monitoring and real-time analytics allow risks to be identified early, incidents to be escalated faster, and compliance to be enforced more effectively.

AI-driven analysis of video streams supports centralized control rooms with timely alerts and reliable evidence, while automated reporting provides insight into trends and operational effectiveness over time. Rather than relying on sporadic manual review, transport and city operators gain continuous visibility into how infrastructure and public spaces are being used, helping them reduce incidents, improve compliance, and support long-term planning.

Gain valuable insights into vehicles' dwell time

Mining & Resources: Reducing Exposure & Improving Oversight

Mining and resource operations often take place in remote, high-risk environments where access is difficult and exposure is costly. AI enables continuous monitoring of assets, plant, and environmental conditions without placing people in harm’s way. Drones and fixed cameras capture visual data across large sites, while AI rapidly identifies hazards, equipment issues, and environmental risks that require attention.

Mining organizations can increase equipment availability and reduce manual effort from routine inspections. Sites use real time analytics to monitor haul roads, crushers, conveyors, and stockpiles. Computer vision flags spillage, belt misalignment, blocked chutes, tyre wear, and structural risks. Operations teams receive instant alerts and act before issues cause production loss. Many operations now run daily drone inspections and generate automated compliance reports without manual review.

Additionally, live streaming is able to play a role in these environments, allowing specialists to assess conditions remotely and make informed decisions without delays. AI does not replace human judgement, but it ensures that experts see the right information at the right time, improving safety outcomes and operational responsiveness while reducing unnecessary site visits.

Oversized boulder identified on conveyor

Industrial Manufacturing: Preventing Downtime Through Consistency

In manufacturing environments, unplanned downtime is one of the most significant operational risks (and potential causes of equipment repair costs and loss of revenue). AI helps prevent this by providing consistent, continuous evaluation of equipment condition and operational behavior. Fixed and mobile cameras combined with AI enable early detection of issues that might otherwise go unnoticed until failure occurs.

By standardizing inspection and monitoring across shifts and facilities, AI reduces variability and reliance on manual checks. Safety risks can be identified earlier, maintenance can be scheduled proactively, and operations teams gain a clearer view of performance trends over time. The result is improved reliability, safer working conditions, and better utilization of assets.

Automated insights of manufacturing floor equipment

Emergency & Disaster Response: Speed And Clarity When It Matters Most

In emergency and disaster scenarios, the value of AI lies in speed and situational awareness rather than prediction. Live streaming from drones and cameras provides immediate visibility to command centres, while AI helps triage large volumes of imagery to highlight and prioritize the most critical issues. GIS context adds an additional layer of understanding, linking damage or incidents directly to asset locations and surrounding infrastructure.

Unleash Live’s combination of drone-based live streaming and AI processing enables faster assessment, clearer prioritization, and more coordinated responses during outages, natural disasters, or other major incidents. AI supports responders by reducing information overload and helping teams focus on and coordinate the actions that will restore safety and service as quickly as possible.

Rapidly identify critical areas at risk

Why Consistency Beats Cleverness

In asset-heavy industries, a consistent solution deployed at scale delivers more value than a highly sophisticated model that never leaves the pilot phase. AI must work across varied environments, lighting conditions, asset types, and operational constraints. Consistency, speed, and effective integration matter more than marginal gains in accuracy.

Organizations that succeed focus on repeatable workflows, standardised evaluation, and the continuous improvement enabled on the Unleash Live Cloud environment. AI becomes a reliable part of daily operations, not a specialist tool used in isolation. This approach enables faster adoption, greater trust, and measurable operational impact.

Effective AI Deployments Supplement & Optimize Existing Operations

AI does not replace experienced operators, engineers, subject matter experts, or safety professionals. Instead, it multiplies their effectiveness by reducing manual workload, surfacing risks earlier, optimizing field team operations and minimising exposure to hazardous environments. Humans remain responsible for decisions, while AI ensures they are working with timely, consistent, and relevant information.

Large scale deployments need more than technology. They need the right support structure. Our approach includes onboarding, workflow design, training, and continuous optimization with your technical teams. This ensures that AI becomes part of everyday operations. Teams shift from reactive decisions to predictive management and from isolated pilots to full network coverage.

When the ecosystem is aligned, scaling becomes natural. Data flows consistently and insights reach the right people instantly. Teams adopt the tools because the value is clear. The result is safer operations, better decisions, and stronger resilience across every asset and region.

Unleash Live helps you reach this future with proven deployments across energy, mining, and government. Your teams see issues before they become failures and act with confidence across your entire network.

Expanding US Growth through NSW Going Global Program

getstarted@unleashlive.com (Unleash Live) — Mon, 16 Feb 2026 00:00:00 GMT

Unleash Live has been invited to participate in the NSW Going Global Export Program 2026 for AI Technology in the United States.

This invitation recognizes both our growing traction in the US and the depth of our visual analytics platform across energy, emergency response, transport, and critical infrastructure industries.

It also marks an important step in expanding Unleash Live’s full product offering across North America.

A broader visual analytics platform

Unleash Live delivers a complete visual intelligence platform that enables enterprises to capture, analyze, and act on visual data in real time. Our platform connects live and recorded video, images, and telemetry from drones, fixed cameras, mobile devices, and existing CCTV systems into a single cloud environment.

From there, computer vision models analyse visual data to support:

Automated asset inspections
Condition assessment and fault detection
Predictive maintenance planning
Situational awareness during incidents
Remote coordination of field teams

This turns inspections from manual, periodic tasks into continuous operational intelligence.

Built for complex, real world environments

Unleash Live’s computer vision models are purpose built for harsh and high risk environments. They are trained to operate across:

Energy distribution and transmission networks
Renewable assets
Emergency response and disaster zones
Transport corridors
Remote and industrial sites

AI analysis is combined with human review workflows, enabling teams to validate findings, build trust, and continuously improve outcomes.

The platform supports low latency processing at scale, making it suitable for both day to day inspections and high pressure emergency response scenarios such as bushfires, floods, and severe storms.

Integrated inspection and drone operations

Unleash Live also includes Autofly, our drone mission planning and ground control system (GCS).

Autofly standardizes how inspections are executed in the field by:

Automating flight paths and data capture
Coordinating multiple field teams
Ensuring consistent inspection coverage
Enabling live streaming when safety is critical

This ensures inspection data is captured once, captured correctly, and immediately available for analysis.

Enterprise ready by design

The platform is built on secure, scalable cloud infrastructure and designed to integrate directly with existing enterprise systems.

This includes GIS/mapping, asset management platforms, and operational workflows already used by utilities and infrastructure operators.

Unleash Live adheres to enterprise and government grade security standards and is advancing US specific requirements including SOC2, NDAA compliance, and regional cloud hosting.

Responsible AI is embedded throughout the platform, with a strong focus on transparency, explainability, and governance.

Expanding in the United States

Unleash Live already supports US based energy organisations, including deployments across the West Coast and Florida.

The NSW Going Global Export Program will support the next phase of expansion by providing:

Market intelligence across US energy, emergency response and infrastructure sectors
Introductions to potential customers and partners
Export readiness and regulatory guidance
Support to refine our US go to market strategy

This builds on existing momentum across the West Coast and Florida, while opening opportunities to expand further across North America.

Looking ahead

The program runs from January to March 2026 and includes a US market entry mission and participation in key industry events, including the Nvidia GTC AI Conference in San Jose, CA.

For Unleash Live, this program is about scale.

Scaling automated inspections
Scaling visual intelligence
Scaling impact across critical infrastructure networks

We look forward to working with Investment NSW to bring our visual analytics capability to more energy and infrastructure operators across the United States.

Check out our Unleash Live Investment NSW profile to learn more.

Centralized Visual Intelligence for Emergency Response

getstarted@unleashlive.com (Unleash Live) — Tue, 16 Dec 2025 00:00:00 GMT

When fires escalate, floods spread, or storms make landfall, the challenge facing emergency services is rarely a lack of data. The real issue is fragmentation. Information arrives fast, but rarely in a form that supports decisive action. Video feeds arrive from multiple teams, radio traffic intensifies, and situational awareness becomes harder to maintain just as decisions need to accelerate. In these moments, clarity is not a nice-to-have. It is the foundation of effective response.

Unleash Live’s latest live streaming release is designed specifically for these high-pressure environments. It delivers a centralized visual intelligence platform that brings live video, geospatial context, and operational control into a single, managed environment. The objective is not more data, but faster, better informed decision making under pressure.

By combining real-time streaming, predictive context, secure distribution, geospatial context, access control, and post-event analysis in a single platform, Unleash Live enables emergency organizations to coordinate faster, deploy resources more effectively, and maintain control as incidents evolve. This capability has been shaped by real-world emergency response needs, not theoretical workflows.

Turning Field Footage into a Shared Operational Picture

At the core of the platform is the ability to collect live video from the field and stream it securely through Unleash Live Cloud to authorized stakeholders in real time. While drone-based capture using Autofly (Ground Control System) is central to this capability, the platform is deliberately hardware agnostic. Emergency response rarely allows for perfect conditions or standardized equipment.

Unleash Live can ingest live video from drones, vehicle-mounted cameras, fixed CCTV systems, body worn cameras and mobile phones. This ensures that whether visibility comes from the air, the roadside, a fixed installation, or a first responder’s handset, it can be brought into a single operational environment. The result is continuity of awareness rather than isolated pockets of insight.

Streams can be distributed simultaneously to central control rooms, mobile command vehicles, field teams on the ground, and individual decision makers viewing from laptops or mobile devices. This removes the dependency on verbal interpretation and ensures that strategic and tactical decisions are grounded in the same visual truth, regardless of where teams are located.

Rapid Flood Assessment

Structuring Incidents with Channels and Controlled Access

Live video becomes far more valuable when it is organized in a way that mirrors how incidents are actually managed. To support this, Unleash Live introduces the concept of channels. A channel groups one or more live streams associated with a specific incident, location, or operational objective.

In practice, a channel represents all available 'eyes' on a single incident. Rather than switching between disconnected feeds, command teams can view and manage a consolidated set of streams within a single contextual frame. This structure enables faster interpretation, clearer handovers, more effective field team coordination and reduced cognitive load during complex operations.

Access to each channel is tightly controlled. Internal users are managed through enterprise authentication, including SSO, ensuring only authorized personnel can view sensitive footage. At the same time, access can be securely extended to external organizations involved in the response through custom URLs configured on a per-incident basis. This allows for controlled multi-agency collaboration without compromising security or governance.

Adding Context: Maps, Telemetry, and Real-Time Direction

Video alone rarely tells the full story. Understanding where a drone is positioned, which direction it is facing, and how it relates to surrounding terrain or infrastructure is critical for meaningful decision-making. Unleash Live addresses this by combining live streams with geospatial context through Fusion Atlas (GIS Tool).

Drone location, camera heading, and supporting telemetry are visualized on a satellite map alongside the live video. This allows remote viewers to immediately understand what they are seeing and how it fits into the broader incident footprint. Whether monitoring a single structure fire or a rapidly expanding wildfire front, teams gain both local detail and regional awareness.

The platform also enables active coordination, not just passive viewing. Users can annotate maps in real time using markers, bounding boxes, and polygons. These annotations are visible to drone pilots instantly, enabling teams to highlight areas of interest, establish geofenced no-fly zones, or direct attention to emerging risks without relying solely on voice instructions.

Video does not exist in a vacuum. Fusion Atlas allows command teams to overlay third-party live data directly onto the map alongside drone feeds. This includes live weather radar, flood inundation modelling, and fire spread predictions. Commanders see the asset not just on a map, but relative to the evolving threat path.

Operating in the Real World: Connectivity, Control, and Communication

Emergency incidents do not wait for reliable networks. Fires, floods, and storms often impact exactly the areas where connectivity is weakest. Unleash Live is designed to operate in these conditions, combining low-bandwidth streaming from Autofly with satellite connectivity such as Starlink to maintain live visual operations even in remote or degraded environments.

Low bandwidth does not simply mean reduced resolution. The platform dynamically adapts bitrate and stream reliability prioritizing continuous situational awareness even in high-packet-loss environments typical of disaster zones. This ensures usable live visuals at the edge of fire fronts or in flood-affected regions.

Our architecture dynamically adjusts stream quality based on available bandwidth, prioritizing continuous situational awareness even in high-packet-loss environments typical of disaster zones.

If connectivity is severed during a mission, Autofly continues to capture and store video and log information locally. This information is automatically synced to the cloud the moment the link is restored, ensuring a complete evidential record is never lost.

Live streaming is centrally managed through Unleash Live Cloud, ensuring that footage is routed to the right people at the right time. This central control reduces the risk of unmanaged distribution, duplicated effort, or critical information being missed during fast-moving situations.

Two-way push-to-talk communication further strengthens field team coordination. Command center personnel can speak directly with specific drone pilots, requesting repositioning or alternative viewpoints to support tactical decisions on the ground. This tight feedback loop shortens response times and improves alignment between aerial insight and field execution.

AI That Supports Real Decisions

AI within Unleash Live is applied where it adds operational value. Specific models can be applied to live or recorded video to provide critical insights such as:

Flood Analysis: Automated water segmentation to map inundation levels against pre-disaster baselines
Crowd Safety: Real-time people counting and density analysis for managing evacuation centers or public order
Thermal Spotting: Hotspot detection and heat signature mapping for post-fire mop-up operations

AI outputs are viewed in direct context alongside the video feeds and the satellite imagery and third party GIS layers, allowing operators to validate insights quickly rather than treating analytics as a black box. This human-in-the-loop approach supports trust, speed, and accountability.

For selected scenarios, AI can be applied to recorded video to accelerate damage assessment and identify areas requiring urgent attention. This is particularly valuable during large-scale events where manual review alone would delay recovery efforts.

Thermal Imaging from Drone

From Immediate Response to Recovery and Review

The value of live streaming does not end when the immediate threat is contained. All video and imagery captured during an incident is stored in Media Drive, where it can be searched, tagged, filtered, and analyzed. This supports structured post-event review, performance analysis, and training without relying on fragmented archives or manual processes.

Using Autofly’s automated missions, organizations can also perform pre- and post-disaster assessments with precisely aligned imagery. This enables accurate comparisons, faster validation of impact, and more informed prioritization of recovery resources. The result is not just better response in the moment, but stronger preparedness for the next event.

Unleash Live is built to give emergency services centralized visibility, structured control, and shared understanding when it matters most. Not more video, but clearer decisions, stronger coordination, and better outcomes under pressure.

Unleash Live is not a streaming tool. It is a resilience platform designed to give emergency services a single, trusted operational picture across people, assets, and geography.

When conditions are unpredictable and stakes are high, clarity is the difference between reacting and leading.

Advances in our Powerline Asset Monitoring AI-App

getstarted@unleashlive.com (Unleash Live) — Wed, 10 Dec 2025 00:00:00 GMT

Unleash Live’s latest evolution of our powerline assessment AI-App delivers faster, more precise analysis across the full spectrum of network assets. While widely adopted for distribution pole inspections, the enhanced AI models and workflows are designed to support broader utility infrastructure, from poles and crossarms to towers, conductors, vegetation, transformers and substations.

The continually evolving AI expands component detection, strengthens defect identification and improves the consistency of asset condition scoring. Combined with a more intuitive subject matter expert (SME) review experience and deeper integration pathways, utilities can now operationalize inspection data earlier, address critical issues sooner, automate more of the assessment process and rapidly customize model performance to your network and assets.

The Operational Challenge

Utilities capture enormous volumes of imagery. Manual review is resource intensive and inconsistencies can lead to missed or miscategorized defects, as well as delays in identifying critical, high risk issues. Unleash Live’s enhanced condition assessment pipeline removes such bottlenecks, enabling teams to ingest imagery at scale, apply high-accuracy AI models, validate results efficiently and seamlessly export findings into asset management systems.

The Solution

Our continuously evolving AI models detect a comprehensive range of components and condition indicators across diverse asset environments and use cases. It delivers:

More accurate identification of core components such as poles, towers, insulators, crossarms, conductors, transformers and other structural elements
Enhanced fault detection and classification for these components including corrosion, cracks, missing components, burn marks as well as being able to assess vegetation threat levels
The AI can be customized to apply fault severity settings based on your priorities

SME's are able to review and, if required, edit the AI’s analysis for accuracy against your specific assets and faults. Every correction and expert input becomes part of the continuous learning loop, allowing the AI to rapidly adapt and improve for each utility’s unique assets, environment and construction standards.

This creates a tailored, utility-specific model that increases detection accuracy over time and strengthens confidence in the resulting condition assessments.

These improvements reduce reliance on manual triage and give utilities rapid, consistent insights into asset condition across large corridors or complex sites.

Media Drive, Unleash Live’s powerful media management tool stores and organises all imagery and the AI analysis output enabling teams to search, compare and audit assets over time providing the perfect tool for more effective predictive maintenance.

Reporting and Integration

Unleash Live’s powerful analysis capability is enhanced by our flexible reporting capabilities, delivering insights in a format that supports your needs.

Customizable dashboards and reports provide both high level and granular insights into your network’s health. The different teams can use this information to spot trends, compare sites and identify anomalies.

Where required these reports can be designed to support compliance and regulatory requirements.

Additionally, Unleash Live integrates directly into the most popular existing operations and asset management platforms, providing the insights in a format that is readily available across all the stakeholder teams.

Images and assets are grouped and classified based on what matters to your organization. With Unleash Live’s range of integrations with third party platforms, findings can then be fed directly into asset management or work order systems for remediation.

Media Drive, Unleash Live’s powerful media management tool stores and organises all imagery so teams can search, compare and audit the network over time.

ROI and Key Benefits

Efficiency:

Lower inspection and labour costs
Faster review with earlier fault visibility
Audit-ready visual records

Consistency and Reliability:

Fewer missed defects
More consistent condition assessment across the full network
Extended asset lifespans through more effective predictive maintenance

Proven Impact:

Thousands of assets analyzed every day
Automated nightly workflows
Strong model accuracy improvements through continuous learning
Enterprise-grade security

New Enhancements with SAM 3

Along with the improvements in the core utility AI processing capabilities, Unleash Live has integrated support from Meta's SAM 3, a tool that allows subject matter experts to easily examine imagery and use plain text or visual prompts to generate precise annotations. These annotations can be used to improve the AI model for large scale AI condition assessment.

By integrating SAM 3 into the Unleash Live platform we help teams to:

Segment objects and apply annotation to identify specific components or faults in live video from drones, CCTV or IoT cameras
Build custom prompts for unique hazards
Accelerate dataset creation with assisted labelling
Improve accuracy through quick fine-tuning on network-specific imagery

SAM 3 Demonstration

AI at the Edge

In addition to the standard Cloud-based image storage and AI processing configuration, the Unleash Live platform can be deployed in edge and hybrid/edge environments depending on your needs.

Why Unleash Live

Unleash Live turns visual data into a strategic asset. The platform improves safety, reliability and operational efficiency. It reduces costs, increases visibility and supports the next generation of utility operations. The Powerline AI-App update brings faster analysis, stronger detection and cleaner workflows at scale.

Learn more.

Automated Inspections. Any Asset, Any Angle!

getstarted@unleashlive.com (Unleash Live) — Thu, 13 Nov 2025 00:00:00 GMT

From Vision to Insight: How 3D Viewing Changes Asset Inspections

Asset owners today are responsible for an increasingly diverse portfolio including solar farms, bridges, substations, pipelines, and transmission networks, each with its own inspection requirements, regulatory standards, and environmental constraints. Yet despite advances in sensors and automation, inspection methods remain largely fragmented and asset specific.

A report from gNext Labs highlights that “traditional infrastructure inspections have relied on manual, labour-intensive methods… as the nation’s roads, bridges, and public assets age and deteriorate, traditional workflows are struggling to keep up.” This fragmentation results in inconsistent data capture, delayed reporting, and higher operational costs for asset owners.

In the solar industry, scalability and environmental exposure create unique challenges. Autonomous inspection company Energy Robotics notes that maintaining solar farms with thousands of panels across remote sites requires repeatable, data-driven workflows to detect faults and soiling efficiently. Meanwhile, researchers publishing in Solar Energy observe that inspection solutions “still face challenges in data availability, real-time monitoring, computational efficiency, and dataset standardisation,” limiting automation potential across large photovoltaic assets.

For pipelines and oil and gas assets, inspection remains constrained by access, geography, and data integration. The US Department of Energy identifies major hurdles including "buried and remote pipeline segments, non-piggable lines, and limitations in existing inspection tool adaptability". A separate MDPI Sensors review adds that although technologies have improved, pipeline inspections still struggle with “detection accuracy, efficiency, and high operational costs,” particularly in complex environments.

Even within bridges and civil infrastructure, manual methods continue to dominate. MindFoundry reports that “limitations in inspection methods have led to a fragmented understanding of bridge health, and today one in every 25 council-maintained bridges is classified as substandard,” reinforcing the industry-wide need for scalable digital solutions.

Across all asset classes, the pattern is clear: inspection workflows remain disconnected, costly, and inconsistent, making it difficult to compare data across portfolios or build predictive maintenance models. The next generation of inspection technology must unify these processes under a single, standardised framework that can scale seamlessly from a bridge to a solar array to a pipeline corridor.

Automation, Intelligence, and Vision, All in One Platform

1. A Single Workflow for Any Asset

Unleash Live’s Waypoint Automation allows operators to define repeatable missions around any structure, such as powerlines, solar arrays, buildings, or bridges, with centimetre-level precision. The mission architecture remains the same, while parameters like altitude, angle, and distance adjust to the asset.

2. AI-Driven Smart Inspection

Once data is captured, the Smart Inspection engine automatically analyses imagery for anomalies, defects, or degradation patterns. Whether steel trusses, solar modules, or high-voltage insulators, the same AI architecture identifies issues in context using Unleash Live’s AI-App Store and Media Drive.

3. The 3D Viewer: Visualising Possibility

The 3D Viewer brings this capability to life. By rendering complex assets such as the Sydney Harbour Bridge in high fidelity, Unleash Live’s platform can model inspection missions virtually before deployment.

Users can pan, zoom, and simulate inspection paths, visualising what an automated capture would look like, from under-deck geometry to tower structures and connecting spans.

This virtual demonstration illustrates scalability in action. If the workflow can handle a bridge of this complexity, it can handle any asset in an organisation’s portfolio.

Harbour Bridge autonomous asset monitoring demonstration.

Why It Matters

Consistency Across Assets: Standardised data capture, storage, and AI-driven analysis for every asset type.
Reduced Risk: Virtual mission simulation identifies obstacles and optimises capture before deployment.
Scalable Deployment: A single workflow usable across energy, infrastructure, and transport sectors.
Smarter Decisions: Unified data enables cross-asset analysis and predictive maintenance.

Looking Ahead

The Sydney Harbour Bridge 3D model demonstrates the power of a single, unified inspection workflow applied at scale. By combining automated capture, AI-driven analysis, and interactive 3D visualisation, Unleash Live allows operators to inspect any asset, in any environment, with consistency and precision. This approach reduces risk, lowers costs, and enables smarter, data-driven decisions across diverse portfolios, from energy networks and pipelines to solar farms and critical infrastructure.

With Unleash Live, organisations can move confidently into a future where inspections are safer, faster, and fully automated, turning complex visual data into actionable insights.

Learn more.

Unleash live has won multiple AI industry awards

Unlock the Value of Drone AI Inspections for Utility Asset Monitoring

getstarted@unleashlive.com (Unleash Live) — Thu, 16 Oct 2025 00:00:00 GMT

The Australian Energy Regulator’s State of the Energy Market 2025 report highlights urgent challenges for utilities. Aging infrastructure, inspection backlogs, and growing exposure to extreme weather events like bushfires, storms, and flooding are placing networks and crews under pressure. Regulators now demand more frequent reporting and faster response to hazards, making compliance and operational efficiency critical.

Manual asset inspections can’t keep pace. They are labour-intensive, expensive, and often dangerous in remote or hard-to-access areas. As compliance requirements rise, delays in inspections increase the risk of penalties, reputational damage, and unplanned outages. Utilities are under pressure to improve monitoring, accelerate fault detection, and enable predictive maintenance. This is where utility asset monitoring with drone automation and AI is proving its value.

From Cost to Value: Drone Utility Inspections

Many utilities already invest in LiDAR or traditional inspection programs. The challenge is that these efforts often leave large image archives underutilised. Drone utility inspections supported by Unleash Live unlock more value from existing data, turning standard RGB imagery into actionable insights at scale, without requiring new capture programs.

Proving ROI Without High Upfront Costs

Tight budgets often slow adoption. The most effective programs begin with existing drone fleets or historical image archives. Small pilot teams quickly prove the value, showing faster reporting, lower inspection costs, and less manual effort. Many utilities see payback within months, helping them scale their efforts with confidence.

Building Confidence in Accuracy

Scepticism around AI accuracy is common. Unleash Live addresses this by benchmarking more than 50 fault classes with average F1 scores above 91 percent. Accuracy is validated against ground-truth datasets and customer QA processes. Utilities also have the ability to retrain models on their own data, ensuring transparency and continuous improvement.

Starting Small Without Needing an AI Strategy

Utilities don’t need a complete AI roadmap before taking action. Many begin with one priority asset type, such as insulators, and expand from there. Early results become the foundation for a broader strategy, helping teams build momentum while keeping compliance and governance aligned.

Technology That Adapts

Changing hardware doesn’t need to be a roadblock. Unleash Live is hardware-agnostic, integrating with DJI, Skydio, and fixed cameras. If procurement policies shift, workflows and models transfer seamlessly, avoiding costly disruption.

Learning From Past Pilots

Previous drone and AI pilots often failed due to immature technology. Today, utilities worldwide use Unleash Live in live production environments. Automated, repeatable capture, human-in-the-loop validation, and continuous retraining mean results improve over time rather than stalling after proof-of-concept.

Reducing Workload, Not Adding to It

A new platform should make inspections easier, not harder. Unleash Live integrates directly with existing systems such as GIS, ESRI, SAP, and Maximo. Automated data ingestion and reporting reduce manual tasks for teams, freeing them to focus on higher-value work.

Secure by Design

Protecting critical infrastructure data is non-negotiable. Unleash Live runs on AWS with enterprise-grade compliance including SOC 2, ISO 27001, and FedRAMP. For stricter requirements, on-premise and edge deployments are supported.

Moving From Backlogs to Real-Time Insight

The barriers to adoption are real, but they are manageable. By starting small, validating accuracy, and integrating into existing systems, utilities can overcome backlogs, reduce safety risks, and meet regulatory demands. Automated fault detection with drone inspections enables faster decision-making, predictive maintenance, and stronger climate resilience.

Unleash Live helps utilities cut costs, improve safety, and reduce downtime with proven results in live operations. Our technology directly addresses the priorities raised in the AER’s 2025 report and is already helping utilities deliver safer, more efficient, and more resilient networks.

Read more in our Automated Utility Inspections Brochure.

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.

DJI Webinar: Transforming Powerline Inspections with Drones

getstarted@unleashlive.com (Unleash Live) — Tue, 22 Jul 2025 00:00:00 GMT

Join our expert team for an in-depth webinar on transforming powerline inspections using drones and machine learning AI.

Traditional inspection methods are time consuming, costly, and risky. Field teams often need to climb poles or use helicopters to check infrastructure, increasing safety hazards and operational costs. In this webinar, we show how a leading Australian electricity distributor has completely redefined its inspection process using automated drones and Unleash live’s AI video analytics.

We’ll walk you through the full workflow, from choosing the right drone hardware, such as DJI’s Matrice 400 series, to setting up intelligent flight paths with Autofly, capturing aerial data, and live streaming video back to central control rooms.

Learn how our machine learning AI models detect faults such as insulator cracks, corrosion, and vegetation encroachment from real-time video. Insights are returned instantly to asset managers and field teams, allowing them to act faster and reduce manual site visits.

You’ll also see how inspection data integrates with asset management systems to simplify reporting and improve planning across distributed networks.

This webinar features a case study where one customer cut inspection time by up to 70 percent, improved safety, and increased accuracy of fault detection.

Watch the on demand webinar now.

Drone Inspection Case Study: Endeavour Energy, DJI & Unleash Live

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

Sydney, Australia, Jun 2025 – Endeavour Energy, DJI and Unleash Live have unveiled a new case study video showcasing how autonomous drone technology is transforming utility pole inspections. The video, just released, highlights the efficiency, safety, and environmental benefits of drone-powered inspections while demonstrating how this technology is reducing bushfire risks.

A Smarter, Safer Approach to Infrastructure Management

Endeavour Energy delivers electricity to over 3 million people across 25,000 square kilometers in New South Wales. With increasing demands for reliable power and the growing challenges of extreme weather, the company has prioritised innovation to enhance network management.

“Our work is critical to economic growth and community safety,” said Steve Lette, Head of Data, Digital, and Insights at Endeavour Energy. “By integrating autonomous drone technology, we are ensuring our infrastructure remains resilient while improving safety and operational efficiency.”

Tackling Bushfire Risks with Advanced Drone Inspections

Endeavour Energy’s Pre-Summer Bushfire Inspection (PSBI) program assesses more than 180,000 poles in high-risk areas before bushfire season. Drones have proven to be a game-changer in this process, replacing traditional methods that posed operational challenges.

“Our network spans bushfire-prone areas like the Blue Mountains, Hawkesbury, and the South Coast,” Lette explained. “Drones allow us to capture high-resolution imagery with greater precision, ensuring potential defects are identified and addressed before they become hazards.”

From Helicopters to AI-Powered Drone Inspections

Previously, Endeavour Energy relied on helicopters for aerial inspections, but this approach had limitations, including noise pollution, restricted image quality, and difficulty accessing infrastructure beneath dense vegetation, not to mention it was significantly more costly.

“Drones are safer, quieter, and provide significantly better image resolution,” said Michael Ryan, Manager of Field Operations at Endeavour Energy. “Since transitioning to drones, we’ve seen a sharp decline in community complaints and a dramatic improvement in inspection accuracy.”

The Power of DJI Drones and Unleash Live’s Autofly Technology

This new case study video highlights the role of DJI’s state-of-the-art drones combined with Unleash Live’s Autofly AI technology. This seamless integration enables automated drone flights, AI-driven defect detection, and efficient data processing, streamlining Endeavour Energy’s inspection workflow.

“Our platform makes autonomous inspections scalable and repeatable,” said Unleash Live CEO Hanno Blankenstein. “Endeavour Energy can now conduct rapid, high-precision inspections while enhancing safety and reliability.”

Key Benefits of Drone-Powered Inspections

Faster, more accurate inspections – Machine Learning AI imaging detects defects that traditional methods often miss.
Enhanced safety – Eliminates the risks associated with low-flying helicopters.
Lower environmental impact – Reduces carbon emissions by 80%.

Greater efficiency – AI-powered automation accelerates data analysis and reduces manual effort.

Expanding Automation with DJI Dock and BVLOS Operations

Endeavour Energy is now exploring full-scale automation with DJI Dock for Beyond Visual Line of Sight (BVLOS) operations. This advancement will enable post-storm assessments, real-time asset monitoring, and emergency response improvements.

“With the success of our drone inspections, we’re focused on scaling automation,” said Lette. “BVLOS technology will allow us to further enhance resilience, response times, and operational efficiency.”

Exclusive Showcase at Australian Energy Expo 2025

Unleash Live will present this cutting-edge case study at their trade booth on 18-19 June (A2), at Australian Energy Expo, at Melbourne Convention & Exhibition Centre, giving attendees an inside look at the future of AI-powered drone inspections in the utility sector.

Stay tuned to see how Endeavour Energy, DJI, and Unleash Live are setting new benchmarks in infrastructure management and bushfire prevention.

Watch the full video and download the Case Study PDF.

Endeavour Energy, DJI & Unleash live Video Case Study & PDF

getstarted@unleashlive.com (Unleash Live) — Mon, 16 Jun 2025 00:00:00 GMT

The key benefits covered in this video include:

Faster inspection cycles across power assets
Improved worker safety through remote monitoring
Automated fault detection using machine learning AI
Scalable, real-time analytics across large networks
Less costly power outages

This is the future of infrastructure monitoring, powered by drones and AI!

Want to know more? Download the PDF Case Study resource above.

Unleash Live Hits 93 Crunchbase Heat Score – A Global Growth Signal

getstarted@unleashlive.com (Unleash Live) — Wed, 11 Jun 2025 00:00:00 GMT

Unleash Live, is an Award winning AI video analytics solutions provider, that helps critical industries move faster, operate safer, and make smarter decisions at scale.

Crunchbase placed Unleash Live among the hottest AI companies globally!

What’s Fueling the Growth?

Unleash Live is rapidly cementing its position as a global leader in Machine Learning AI video and image analytics. We were recently named Winner of the AFR AI Award in the Productivity & Efficiency category, recognising our impact on critical industries like utilities and renewables. This follows our successful $17 million Series B funding round, which is accelerating our global expansion across Australia, the US, and Europe. We also launched a powerful new video case study in collaboration with Endeavour Energy and DJI, highlighting how our platform is transforming utility asset inspections, automating the process across poles, conductors, and substations to improve safety, reduce manual labour, and cut inspection times from weeks to just days resulting in

Our clients value how we tackle the entire workflow from scaled automated precision video and image capture (via ground cameras, drones and robots) to optimised network sync to secure cloud analytics straight into their BI/ERP/EAM/GIS integrations and alerts.

These milestones highlight the accelerating demand for real-time visual intelligence and the tangible results Unleash Live is delivering across energy, transport, mining, and infrastructure.

We're not just building AI, we're solving critical, real-world problems at scale. Here's where we're making an impact:

⚡ Energy & Utilities

Use Case: Drone-powered inspections with Endeavour Energy

We’ve helped automate the inspection of millions of poles, conductors, and substations using drones, computer vision, and AI reducing inspection times from weeks to days and improving network resilience. Speed for precision capture increased by 80% and maintenance teams get better insights faster.

Use Case: Solar panel analytics with Tilt Renewables

Our AI apps detect panel degradation and thermal hotspots from drone-captured infrared and RGB images, enabling preventative maintenance and performance optimisation.

Use Case: Wind turbine inspections

Partnering with DJI and Worley, we’ve automated wind turbine blade inspections, identifying cracks, erosion, and lightning damage, cutting downtime and eliminating rope-access risks.

🚉 Transport & Public Safety

Use Case: Level crossing monitoring with TfNSW

We’re using AI to monitor driver and pedestrian behaviour at dangerous rail crossings, including speed tracking, stop-line compliance, trespass detection, and near-miss analysis, enabling safer, data-informed infrastructure planning.

Use Case: Flood and fire situational awareness

Our real-time video analytics platform is used by emergency services to monitor disaster zones using aerial footage from drones, providing live insights to field crews and decision-makers.

⛏ Mining

Use Case: Haul road monitoring and vehicle compliance

Unleash Live helps mining operators track heavy vehicle movement across haul roads using live cameras and AI models, monitoring speed, spacing, and safe stop distances in real time.

Use Case: Perimeter and zone safety compliance

Our platform automates the detection of personnel, equipment, and unauthorised entry into restricted zones. Operators receive instant alerts when safety protocols are breached.

Use Case: Environmental and operational surveillance

We work with open-pit mines to monitor slope integrity, water buildup, and environmental risk areas using real-time visual feeds, reducing downtime and improving operational continuity.

Why It Matters

Crunchbase score confirms our market momentum, Unleash Live is a top-growth AI company backed by real customers, trusted by global partners, and scaling.

Whether you're a partner, investor, prospective customer, or future team member, we welcome you joining this ongoing momentum.

What is a Crunchbase Heat Score?

Crunchbase’s Heat Score is a proprietary measure of a company’s growth and market momentum. It reflects factors like funding, web traffic, news coverage, hiring trends, and investor interest. A score in the 90s signals sustained velocity and strong ecosystem visibility.

See It for Yourself

📈 Explore our Crunchbase profile: 🔗 Unleash Live on Crunchbase

Want to partner with one of the fastest-growing AI companies in the field?

Let’s talk.

Unleash Live Wins AFR AI Award for Productivity & Efficiency in Energy

getstarted@unleashlive.com (Unleash Live) — Wed, 04 Jun 2025 00:00:00 GMT

We’re proud to announce that Unleash Live in collaboration with Worley, has won the 2025 Australian Financial Review AI Award in the Productivity and Efficiency category.

This national recognition highlights the real-world impact of our machine learning video analytics platform, starting with wind farm inspections and expanding across solar, utilities, and grid infrastructure. It’s a powerful validation of how AI is transforming asset-intensive industries with smarter, faster, and safer operations.

We were honoured to be selected from a strong shortlist of finalists that included Nasdaq, Commonwealth Bank of Australia (CBA), NSW Department of Education, and Dext, and to emerge as the winner in such a competitive and high-impact category.

Unleash live won the 2025 Australian Financial Review AI Award in the Productivity and Efficiency category

Award-Winning Innovation: Driving Measurable Results in Energy

The AFR AI Awards celebrate applied AI that delivers meaningful outcomes across the economy. Unleash Live was recognised for enabling:

Up to 80% cost savings over traditional wind turbine inspection methods
Up to 90% reduction in revenue loss from downtime for offshore wind operations
5x increase in inspection throughput using autonomous drones
Safer operations by eliminating rope access for high-risk inspections
Real-time fault detection and predictive maintenance using Machine Learning AI computer vision

Our platform integrates with off-the-shelf drones to inspect turbine blades for erosion, cracks, and lightning damage, before these lead to system failures. Partnering with leading energy services providers, we’ve replaced manual workflows with scalable, AI-driven analytics.

Scaling AI Across Wind, Solar & Utilities

Australia’s wind sector includes over 90 wind farms and nearly 4,000 turbines, generating more than 11 GW of power. The need for fast, high-quality inspections is only growing. Our platform is hardware-agnostic, automating both flight and analytics, giving operators rapid, sub-centimetre-level fault detection.

But our impact doesn’t stop at wind!

In the solar sector (as demonstrated in the Tilt Renewables case study), we detect panel degradation and thermal hotspots to enable smarter preventative maintenance.

In Utilities, we’re working with Endeavour Energy, Ausgrid, and Essential Energy to inspect transmission lines, substations, and pole-top assets, cutting inspection times from weeks to days while improving field safety and data quality.

From Reactive to Predictive: The Utility of the Future

In collaboration with one of Australia’s largest energy providers, we’ve modernised their aerial inspection program, combining autonomous drone capture, AI-based analytics, and real-time data streaming. The results:

Thousands of assets inspected per week
Reduced manual overhead and field crew risk
Data-driven insights for smarter maintenance decisions

We’re helping utilities shift from reactive asset management to predictive, data-informed operations.

Celebrating Progress, Shaping What’s Next

The AFR AI Awards Cocktail Event was held on June 3, 2025, at the Hilton Sydney, bringing together innovators driving real-world AI applications. We’re honoured to stand among them, and proud of the work our team, partners, and customers are doing to accelerate the energy transition.

Winning against world-class organisations like Nasdaq, CBA, NSW Department of Education, and Dext makes this achievement even more meaningful. It shows that Australian-founded innovation can compete, and lead on a global stage.

🔗 Read the AFR Article

Want to see the technology in action?

🔗 Watch our Wind Inspection Demo

🔗 Watch our AI Product

Unleash live has won multiple AI industry awards

Smarter Energy Future: Unleash Live at Siemens Swinburne Hub

getstarted@unleashlive.com (Unleash Live) — Wed, 04 Jun 2025 00:00:00 GMT

On 28 May 2025, Unleash Live CEO and Co-founder Hanno Blankenstein was the keynote speaker and joined an influential panel at the Siemens Swinburne Energy Transition Hub) event, an evening dedicated to advancing thought leadership around Australia’s evolving energy future. The event was held at Swinburne University of Technology, Advanced Technology Centre, in Melbourne and brought together more than 150 attendees from across the energy, technology, and policy landscape.

With shifting geopolitical forces, changing energy policy, and the acceleration of digital technologies such as AI and automation, this forum provided a timely opportunity to explore how collaboration can drive innovation in energy systems, and how Australia can lead in this global transformation.

Thought Leadership on a Critical Transition

Hanno joined a panel of respected leaders, including:

Dr. Vicky Au, Director of Decarbonisation, Wood
Sid Masilamani, General Manager of Energy Storage, Vena Energy
Prof. Mehdi Seyedmahmoudian, Director of the Siemens Swinburne Energy Transition Hub
Jose Moreira, General Manager of Smart Infrastructure Grid Software, Siemens ANZ

Moderated by Mai Dang of Siemens Australia, the conversation centred around key questions:

What does a resilient and adaptable energy grid look like in the face of rapid change?
How do we balance innovation with inclusivity, ensuring communities are part of the energy transition?
And what role does real-time data and digital infrastructure play in transforming legacy systems?

As the founder of a company operating at the intersection of AI, video analytics, and critical infrastructure, Hanno offered practical insight into how live visual data is enabling energy providers and governments to:

Automate and scale asset inspections
Detect issues before they escalate
Respond to environmental events faster and more safely

“Digital transformation in energy isn't just about efficiency, it’s about resilience, visibility, and agility,” CEO, Hanno Blankenstein said. “With real-time data, we’re giving operators the tools to act, not just react.”

Celebrating a Major Milestone for Unleash Live

The event also provided a moment of celebration for the Unleash Live team. Just days earlier, we had announced the close of our $17 million Series B funding round. This brings our valuation to over $100 million, a key validation of our strategy, technology, and growing market presence in Australia, the US, and Europe.

The funding will accelerate our global growth in industries like:

Energy, Utilities and renewables, where demand for inspection automation and grid visualisation is growing
Mining and Oil & Gas, where safety and asset uptime are mission-critical
Transport and infrastructure, where operational oversight at scale is essential

A Shared Commitment to Energy Innovation

Our participation in this event reflects a broader commitment to collaboration across sectors, industry, academia, and government. Events like this are crucial to surfacing new ideas, aligning agendas, and ensuring the energy transition is supported by both strong policy and cutting-edge technology.

Unleash Live is a founding partner in the Siemens Xcelerator Programme and a strong supporter of the Siemens Carbon Neutral transition initiatives.

We’d like to thank Siemens and Swinburne University of Technology, and especially Professor Mehdi Seyedmahmoudian, for hosting such a timely and well-curated event. The Siemens Swinburne Energy Transition Hub is quickly becoming a vital space for dialogue and experimentation in Australia’s clean energy future.

We look forward to deepening our involvement and sharing more in the months ahead, including the upcoming release of our Endeavour Energy case study, showcasing how visual analytics is helping reshape frontline operations in the energy sector.

🔗 Explore Unleash Live’s Series B announcement

🔗 Unleash Live's CEO, Hanno Blankenstein on Siemens Beyond 1% Summit Panel

Repeated Tragedies at Level Crossings Demand Smarter Solutions

getstarted@unleashlive.com (Unleash Live) — Tue, 03 Jun 2025 00:00:00 GMT

Another tragic reminder of the dangers at rail level crossings has surfaced, this time in Runcorn, Brisbane, where a cyclist was fatally struck by a train while trying to cross as the barriers were coming down. This follows the devastating Cardup crash in Western Australia, where a vehicle collided with a train at a rural crossing, underscoring just how vulnerable these sites remain across the country.

These are not isolated events. According to the TrackSAFE Foundation, between 2016 and 2023, Australia recorded 1,426 rail-related fatalities, injuries, and attempted suicides, with 195 incidents directly tied to level crossings (165 involving vehicles and 30 pedestrians).

These losses are preventable.

A Smarter Way Forward - Unleash Live’s Level Crossing Safety Solution

Unleash Live is partnering with state government departments to deploy its Machine Learning AI video analytics platform at high-risk rail crossings with a goal of using real-time data to detect, predict, and help prevent future incidents.

Our Level Crossing App, part of the Unleash Live platform, analyses live video feeds to identify hazards in real time, whether it's a vehicle approaching too fast, failing to stop, or a pedestrian entering the danger zone.

What the System Can Do:

Estimate vehicle speeds across key zones
Measure stop-line compliance
Detect and classify vehicles and pedestrians
Track train frequency and near-miss events
Monitor for trespassing and send real-time alerts
Generate insights to inform planning and enforcement

Under the Hood - Smart Infrastructure Built for Scale

The system combines edge and cloud infrastructure for continuous, reliable performance:

Tier A – Powerstack Poles: Durable, solar-powered, with built-in battery for all-weather conditions
Tier B – Ezzy Poles: Lightweight, modular, and cost-efficient
Routers with static IP SIMs ensure consistent connectivity
POE/WiFi cameras provide 180° wide field of view
Live feeds are streamed securely to the Unleash Live Cloud Platform, giving authorities real-time access and historical footage analysis

Unleash live Platform - Level Crossing Dashboard

Beyond Visibility - Real Safety Impact

This isn’t just about monitoring, it’s about taking action before something happens. TfNSW can now:

Flag dangerous driving behaviours
Identify peak risk periods
Visualise trends across 1,300+ crossings statewide
Integrate insights into wider safety and infrastructure plans

By replacing reactive incident reporting with proactive prevention, Unleash Live’s system helps authorities step in where visibility, timing, and human monitoring often fall short.

Saving Lives Through Vision

Every life lost at a level crossing is one too many. With tragedies like Cardup and Runcorn, the message is clear, current systems aren’t enough.

At Unleash Live, we believe technology must play a central role in public safety. Our platform is purpose-built to prevent the next incident, not just analyse the last one.

We invite transport authorities, safety regulators, and infrastructure planners to explore how our Level Crossing AI App can support a safer, smarter network.

📩 Contact us to learn more

🔗 Book a demo or get in touch

🔗 Unleash Live Knowledgebase: Level Crossing AI

🔗 Platform Overview

🔗 TrackSAFE Report (2016–2023)

🔗 Cyclist Hit At Runcorn Crossing

🔗 Truckie Accidient at Cardup Crossing

Unleash Live accelerates global growth with A$17M Series B Raise

getstarted@unleashlive.com (Unleash Live) — Tue, 27 May 2025 00:00:00 GMT

Unleash Live Secures Series B Funding to Accelerate Global Expansion and AI Innovation in Critical Infrastructure.

SYDNEY, AUSTRALIA – 14 May 2025, Unleash Live, the leading real-time video analytics and Machine Learning AI platform for infrastructure and field operations, today announced the successful completion of its Series B capital raise, securing A$17 million in new growth capital.

This investment will support Unleash Live’s continued expansion across international markets and strengthen its platform for enterprise and government customers in energy, utilities, transport, and public safety.

“We’re proud to have secured strong support in a cautious investment climate,” said Hanno Blankenstein, Co-Founder and CEO. “This funding enables us to scale faster, deepen our AI computer vision product leadership, and expand into further global markets where infrastructure resilience and operational efficiency are critical. As ageing infrastructure and climate risk intensify, real-time data intelligence from the field is becoming essential. This investment recognises our client impact, the company’s momentum, market leadership, and high-quality execution since our inception in 2016.”

Unleash live's CEO, Hanno Blankenstein

Unleash Live’s growth trajectory has been defined by strong traction across ANZ, North America, and Europe. Since its Series A raise in 2021, the company has expanded its customer base, launched its connected drone and robot automation Autofly product, developed its industrial AI App platform, and deepened partnerships with hardware manufacturers and cloud platforms (i.e. Siemens, Nvidia, AWS, and MS Azure).

This round represents the next step in our growth trajectory. It reflects continued confidence in the team, the platform, and the company’s growing impact with industrial clients despite a cautious global venture capital environment.

The new capital will be used to:

Scale commercial operations in key international markets, including the Americas and Europe
Deepen Unleash Live’s enterprise engineering and AI product teams' expertise
Expand deployment of its Integrated Analytics Services and Cloud AI platform
Enhance R&D in automation and industry-specific applications
Broaden Unleash Live partnerships with leading industrial automation companies

About Unleash Live

Unleash Live is a real-time video analytics platform that enterprises and governments use to improve safety, efficiency, and responsiveness across critical infrastructure sectors. It transforms live video from drones, CCTV, and mobile devices into actionable insights through advanced machine learning and cloud integration. Headquartered in Sydney with global operations, Unleash Live supports automated inspections, asset monitoring, and rapid response for energy, utilities, mining, transport, and public safety.

Series B News Articles:

Preventing Rock Fishing Tragedies with our Smart Beaches App

getstarted@unleashlive.com (Unleash Live) — Wed, 23 Apr 2025 00:00:00 GMT

Rock fishing is one of Australia's most dangerous recreational activities, responsible for around 13 deaths each year. Since 2004, more than 190 lives have been lost, 185 from drowning and several others due to injuries related to hazardous conditions. Many of these deaths occur in well-known hot spots like Sydney’s eastern beaches, where high swells, slippery rock platforms, and fast-changing weather make fishing from the rocks an exceptionally risky pursuit.

The latest Australian Easter weekend tragically underscored this danger. A string of fatalities across New South Wales and Victoria was directly linked to extreme surf and rapidly shifting coastal conditions. Despite repeated warnings and mandatory life jacket laws, several lives were lost in preventable circumstances. 👉 Read the full story.

What these events make clear is that we need better tools, not just warnings or regulations, to help people stay safe. That's where Unleash Live’s Smart Beaches app comes in.

How Unleash Live’s Smart Beaches App Works

Unleash Live’s Smart Beaches solution uses real-time Machine Learning AI video analytics to monitor hazardous surf conditions with greater speed and accuracy than ever before. Using existing infrastructure like CCTV cameras and drone feeds, the platform continuously scans the environment to detect risks that human eyes can miss.

Here’s what it does:

Monitors live video feeds from coastal cameras and drone footage
Detects dangerous conditions such as rogue waves, strong surges, and slippery surfaces
Alerts Surf Life Saving teams and councils in real time
Supports faster response times by providing actionable intelligence instantly
Enhances long-term safety planning by collecting data on recurring risks and seasonal patterns

Traditional methods like manual observation or signage often come too late or fail to deter people from entering dangerous areas. With Smart Beaches, authorities can identify risks before they escalate and take immediate, targeted action, whether that’s dispatching a lifesaver, closing off a hazardous area, or issuing public alerts.

Why Technology Matters in Coastal Safety

Rock fishing accounts for roughly 4% of all drowning deaths in Australia. What makes it particularly tragic is that many victims are visitors or migrants unfamiliar with local conditions and unaware of safety rules. Cultural and language barriers often mean vital warnings go unheeded.

Although some areas have introduced mandatory life jacket laws for rock fishers, compliance remains inconsistent. Enforcement is difficult without real-time visibility. Smart Beaches can bridge that gap.

By combining Machine Learning AI with accessible visual data, Smart Beaches empowers local councils, emergency services, and Surf Life Saving teams to make faster, more informed decisions. It’s not just about reacting to emergencies, it’s about preventing them in the first place.

Learn More

At Unleash Live, we believe technology should serve people and protect lives. Smart Beaches is just one way we’re using AI to support public safety across Australia’s coastlines.

🔗 Explore more public safety solutions via our Public Safety blogs.

📞 Talk to us to learn how Smart Beaches could help in your area.