Unleash Live: Regulatory & Compliance

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.

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

Automated Utility Inspections with UAS/RPAS/UAV's & Computer Vision

getstarted@unleashlive.com (Unleash Live) — Tue, 28 Oct 2025 00:00:00 GMT

Webinar Overview

Looking for faster, safer, and scalable inspections? Learn how leading utilities are modernising distribution inspections with Drone Automation and Computer Vision. This webinar walks through the software and workflows in use today, showing how utilities are already reducing manual effort, lowering costs, minimising downtime, and making faster, smarter decisions.

What You’ll Learn

Learn how to plan intelligent flights, capture aerial data, detect faults with AI, and integrate seamlessly with asset management. See a product demo in action and explore how these tools reduce inspection times, enhance worker safety, and enable proactive maintenance across the grid.

Topics Covered

Cutting Inspection Times, while Boosting Safety & Data Quality
End-to-End Inspections: Flight Planning to Structured Reporting
AI Analytics: With Human in the Loop for Detecting Faults & Anomalies
Seamless Integration: UAS Insights into SAP, Esri, & Neara
Scaling Inspections Across Regions and Reducing Manual Work at Heights
Pilot Onboarding, Regulatory Readiness & Building Scalable SOPs

Who Should Watch

Asset & Field Operations Managers, Powerline & Grid Engineers, Utility Inspection Supervisors, Maintenance & Reliability Managers, Safety & Compliance Officers, Drone Program Managers, Infrastructure & Network Planners, IT & Data Analytics Utility Lead

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

Enhanced Autofly – Smarter, Safer, More Efficient Drone Operations

getstarted@unleashlive.com (Unleash Live) — Tue, 01 Apr 2025 00:00:00 GMT

Unleash Live continues to advance AI and Machine Learning (ML) powered drone automation with significant upgrades to Autofly, Unleash Live’s industry-leading automated Remotely Piloted Aircraft System (RPAS) solution. These enhancements ensure greater compliance, safety and efficiency for drone operators across various industries, including energy (utilities & renewables), transport, mining, oil & gas and emergency response.

Regulatory Compliance & Safer Operations

Autofly is now commercially operational above and near people and assets, aligning with the latest Civil Aviation Safety Authority (CASA) and The Federal Aviation Administration (FAA) regulations. This update enables organisations to conduct safer and more efficient inspections, even in complex environments where traditional manual drone operations may be restricted.

By integrating real-time geospatial awareness and automated safety checks, pilots can confidently execute missions while adhering to aviation safety standards. This means fewer operational delays and a reduced risk of regulatory issues.

Comprehensive Geospatial Context for Smarter Flights

With enhanced mission planning, jobs and tasks can now include detailed geospatial context, such as:

Layers: Overlays for infrastructure, environmental hazards or restricted zones
Points: Key landmarks or inspection targets
Polygons: Defined areas of interest for targeted data capture

This expanded situational awareness ensures pilots have all critical data at their fingertips, allowing for more precise flight planning, optimised asset inspections and better decision-making in the field.

Advanced Data Read-Outs for Greater Insights

To improve situational awareness and flight efficiency, Autofly now provides expanded read-outs with:

Enhanced telemetry data: Monitor altitude, speed and drone position with greater accuracy.
Live environmental conditions: Access real-time wind speed, direction and temperature to support safer flight decisions.
Mission execution insights: Track performance and ensure all objectives are met effectively.

These data-driven insights empower pilots and teams to reduce errors, minimise flight time and maximise data capture accuracy.

Unlocking New Possibilities Across Industries

With these updates, Autofly is more capable than ever, enabling businesses to scale automated drone operations across multiple industries:

Renewables: Faster wind turbine and solar farm inspections with geospatial overlays.
Utilities: Safer powerline and substation assessments near populated areas.
Transport: Automated monitoring of roads, rail, water and infrastructure.
Mining & Oil & Gas: High-precision data capture in hazardous environments.
Emergency Response: Faster situational awareness for disaster relief and public safety.

The Future of Autonomous Drone Operations

At Unleash Live, we are committed to continual innovation, ensuring our AI and ML powered drone automation remains at the forefront of the industry. With these latest Autofly enhancements, organisations can operate with greater safety, efficiency and intelligence, transforming how critical infrastructure is inspected and managed.

Ready to see Autofly in action?

Learn more about how these latest updates and how they can streamline your operations here.

AI App for Smoke Intensity - Boosting Environmental Compliance

getstarted@unleashlive.com (Unleash Live) — Tue, 19 Nov 2024 00:00:00 GMT

In today’s world, monitoring emissions for environmental impact is more critical than ever. Companies face increasing regulatory pressure to reduce their carbon footprint and monitor air quality, which includes tracking the intensity of smoke emissions from industrial flares, chimneys and exhausts. However, traditional methods of monitoring smoke emissions, such as the Ringleman Scale, rely heavily on subjective human observation, resulting in inconsistencies and inaccuracies in data.

Unleash Live’s Smoke Intensity Measurement AI App (SIM) changes the game by providing an automated, objective solution for monitoring smoke intensity in real-time. By reducing human subjectivity, the app enhances accuracy, builds consistency and helps organizations maintain environmental compliance more effectively.

What is the Ringleman Scale?

The Ringleman Scale, developed in the late 19th century by Maximilien Ringelmann, is a method for assessing the opacity or darkness of smoke. This scale ranges from 0 to 5, with 0 indicating no smoke (clear), and 5 indicating very dark smoke. Each level on the scale corresponds to a specific percentage of smoke density. While the Ringleman Scale has been widely adopted for monitoring emissions, it has limitations due to the inherent variability in human visual assessments.

Why Consistency in Smoke Monitoring Matters

Many companies use the Ringleman Scale to report emissions, especially when they’re located near urban or residential areas. For instance, Santos, a facility near a town, had to monitor emissions 24/7, using monthly reports based on the Ringleman Scale to ensure that smoke intensity stayed within acceptable limits. However, relying on human observation often introduced variability—different inspectors could perceive smoke intensity differently depending on lighting, weather conditions or individual perception. This subjectivity in measurement can lead to inconsistent reporting, potentially resulting in non-compliance with environmental regulations.

For industries that emit smoke as a byproduct, having consistent and accurate data on smoke intensity is crucial. It helps assess whether emissions are within regulatory limits and whether they pose a risk to public health and the environment.

The Role of Unleash Live’s Smoke Intensity Measurement AI App (SIM)

Our SIM AI App uses video analytics to provide a real-time, automated solution for monitoring smoke intensity. The app categorizes smoke levels based on the Ringleman Scale’s 1-5 white-to-dark scale, eliminating the need for subjective visual assessments. This AI-powered approach offers several key advantages:

Objective, Real-Time Monitoring - Instead of relying on human interpretation, the AI app provides accurate, consistent measurements based on video feed data, reducing the potential for human error.
Continuous 24/7 Analysis - The AI app enables continuous monitoring without the need for on-site personnel, which is especially useful for facilities that operate around the clock.
Automated Reporting - With automated analysis, companies can produce monthly or even daily reports on smoke intensity, helping ensure regulatory compliance and offering clear data for audits and environmental assessments.

How Does the Smoke Intensity Measurement AI App Work?

The SIM AI App integrates with camera systems positioned near flares, chimneys or other emission points. As the cameras capture video footage, the AI processes it in real-time to classify the smoke’s intensity. When a smoke plume reaches a certain threshold, the app alerts operators, allowing them to take corrective actions quickly. The app also compiles data into easy-to-understand reports, which can be used to track trends, identify recurrent issues and ensure that emissions stay within acceptable levels.

A methane plume has the flame highlighted, with a box overlaid showing the visual analysis that is taking place

Unleash Live's Smoke Intensity Measurement AI App allows for automated monitoring and review of emissions

Why Is Smoke Monitoring Important?

Smoke is a visible indicator of particulate emissions, which can contain harmful substances depending on the fuel or material being burned. Monitoring smoke intensity helps determine if emissions are within safe levels or if they pose a risk to the environment and public health. By accurately gauging smoke opacity, companies can:

Reduce Environmental Impact - Darker smoke generally indicates higher levels of pollutants. By monitoring and reducing dark smoke emissions, companies can minimize their ecological footprint.
Maintain Regulatory Compliance - Many governments set strict limits on emission opacity. Real-time monitoring and automated reporting make it easier for companies to meet these standards.
Enhance Public Trust - Consistently low emissions improve the company’s standing with local communities and build public trust.

Use Case Example - Facility Smoke Monitoring Near A Residential Area

For a large mineral production facility located near a residential area, monitoring smoke emissions extended beyond regulatory compliance—it was essential for fostering a positive relationship with the local community. If they were to implement Unleash Live’s Smoke Intensity Monitoring (SIM) AI App, the facility would transition from subjective, labor-intensive inspections to a consistent, automated 24/7 monitoring system. This solution provides real-time data, enabling the company to demonstrate its commitment to environmental stewardship and quickly respond to any emissions nearing hazardous levels, reinforcing its dedication to community well-being and sustainable operations.

Shaping a Sustainable Future with AI-Powered Emissions Monitoring

In a world where environmental sustainability is paramount, Unleash Live’s SIM AI App represents a forward-thinking approach to emissions monitoring. By automating smoke detection, categorizing intensity and generating consistent, objective data, this app empowers companies to monitor emissions with unprecedented accuracy and consistency. It’s a tool designed not just for compliance, but for creating cleaner, safer environments.

If you’re interested in learning how Unleash Live’s SIM AI App can help your company achieve its environmental goals, contact us today to see how this innovative solution can make a difference in your operations.

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

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

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

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

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

1. Camera Type and Placement

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

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

2. Deployment Options

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

3. Connectivity Options

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

4. AI Applications

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

5. Data Frequency, Output Format and Distribution

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

6. Trial/Proof of Concept vs. Production

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

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

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

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

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

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

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

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

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

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

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

Summary

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

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

Boost Mining Efficiency with AI Video Analytics Upstream & Downstream

getstarted@unleashlive.com (Unleash Live) — Thu, 17 Oct 2024 00:00:00 GMT

The mining industry, with its massive scale, operates like a finely tuned machine. However, maintaining efficiency in such a vast and complex environment, from upstream activities like excavation to downstream processes like mineral refinement, is no small feat. The need for compliant materials, efficient staff performance and accurate volume measurements is more crucial than ever.

Enter AI Video Analytics

By integrating AI and computer vision into mining operations, companies can achieve the real-time monitoring and automation required to maximize operational efficiency. Let's delve deeper into how AI video analytics is transforming mining, focusing on upstream and downstream production and examine real-world examples of its application.

Upstream - The Backbone of Mining Operations

Upstream mining operations involve the extraction of raw materials. This includes heavy machinery like excavators, haul trucks and crushers, all of which need to function flawlessly to avoid costly disruptions. One of the biggest challenges in upstream mining is equipment failure and unplanned downtime.

Take, for example, a boulder blocking a conveyor belt or a jammed crusher. These are common yet significant problems that can halt production entirely. With AI video analytics, sensors monitor the real-time condition of equipment. Any abnormalities, like oversized rocks on conveyor belts or faulty machinery, are detected instantly, triggering immediate alerts. This allows mining staff to take corrective action before small issues escalate into production-halting crises.

In the past, addressing such problems would have required manual inspection, leading to downtime and productivity loss. Today, Machine Learning AI computer vision can continuously monitor heavy machinery, identify early signs of wear and enable preventive maintenance. This proactive approach not only reduces equipment failure but also increases the lifespan of machinery, leading to reduced operating costs and improved efficiency.

Example: A leading mining company implemented AI-driven video analytics to monitor their haul trucks. By detecting tire wear in real-time, they reduced maintenance costs by 15% and decreased downtime, allowing them to increase productivity by over 10%.

In downstream production, materials extracted upstream move through various refining and processing stages. Maintaining quality and efficiency at this stage is equally critical. AI video analytics ensures that production remains compliant and efficient by providing insights into flow rates, material quality and bottleneck areas.

For instance, AI-driven systems can monitor material throughput in processing plants and optimize production to ensure it matches demand. AI can analyze the size, consistency and speed of material being transported on conveyor belts. If a production anomaly is detected, such as inconsistent material quality or flow blockages, the system immediately alerts operators to take action. This can prevent significant issues like processing plant overloads, quality degradation, or material waste.

Additionally, AI video analytics enhances compliance and safety in downstream operations. With continuous monitoring, mining companies can identify safety breaches in real-time, such as employees not wearing proper PPE (Personal Protective Equipment) or hazardous materials not being handled correctly. AI alerts management, ensuring swift action to mitigate risks, fostering a safer working environment.

Example: Unleash Live stands out with its solution that harnesses the power of AI for rock detection automation. This cutting-edge solution uses existing plant cameras to monitor conveyor belts in real time, 24/7. When a rock surpassing a predefined size threshold is detected, the system immediately alerts operators, enabling them to swiftly remove it before it causes any damage. Read the full case study.

Additional business rules, logic and alerting can be set up to reduce machinery damage and downtime, such as this example detecting oversized rocks on a mining conveyor

Enhanced Compliance and Performance Monitoring

In mining, compliance is non-negotiable. Regulatory requirements often dictate how materials must be handled, processed and transported. Failure to meet these standards can lead to hefty fines, operational delays and even reputational damage. With AI, compliance can be automated and streamlined.

For example, AI systems can be programmed to monitor staff adherence to safety protocols. If workers are found without proper safety equipment, such as helmets, reflective vests, or gloves, AI alerts supervisors in real-time. This enhances both safety and accountability across the organization.

Training and Employee Performance: AI can also highlight underperforming processes or employees, providing data that allows managers to develop more targeted training programs. In this way, the entire workforce understands how their role impacts the broader production workflow.

Example: Personal Protective Equipment (PPE) is a fundamental aspect of workplace safety, yet ensuring compliance across diverse work environments can be challenging. Enter the PPE Detection AI App by Unleash Live. Using state-of-the-art computer vision algorithms, this app automatically recognizes PPE items such as helmets, safety vests, masks, goggles and gloves in real-time video streams.

Download our PPE Solution Brief for more information.

AI in Predictive Maintenance: A Game-Changer for Mining

Perhaps one of the most transformative aspects of AI in mining is predictive maintenance. By using AI video analytics to monitor equipment and detect early signs of wear and tear, companies can forecast when machines are likely to fail and schedule maintenance accordingly. This minimizes unplanned downtime and maximizes asset utilization.

Example: The complex network of machinery and equipment, from excavation to material handling and mineral processing, forms the backbone of mining production. Any disruption, whether due to equipment failure or operational stoppages, can result in significant financial losses. This is where Unleash Live's AI video analytics comes into play, offering real-time monitoring, early intervention and predictive maintenance to minimize costly interruptions and machinery damage. Read more.

The Path Forward - AI Video Analytics as a Mining Partner

Mining companies that incorporate AI video analytics into both upstream and downstream operations are reaping significant benefits. From improved efficiency and reduced operational costs to enhanced compliance and safety, the value of AI in mining is undeniable.

By providing real-time monitoring, predictive maintenance and comprehensive oversight of every stage of production, AI enables mining companies to stay competitive in an industry where margins are tight and efficiency is paramount. Through cutting-edge technology, mining operations are becoming smarter, safer and more sustainable.

With Unleash Live, mining companies can elevate operational excellence and drive productivity to new heights, ensuring they remain competitive in a challenging and dynamic industry.

To learn more about how Unleash Live’s Machine Learning AI video analytics solutions can transform your mining operations, visit our website or contact our team for more insights.

Flight Logging integrated with AVCRM for Compliance & Risk Management

getstarted@unleashlive.com (Unleash Live) — Thu, 17 Oct 2024 00:00:00 GMT

We’re excited to announce a new integration that advances compliance and risk management within drone operations. Unleash Live seamlessly integrates with AVCRM Aviation Compliance and Risk Management Software, enabling operators to log flights directly within AVCRM’s platform. This powerful integration simplifies regulatory reporting, ensures accurate flight data capture, and enhances risk management, making it an essential tool for businesses operating large-scale drone fleets.

By combining AVCRM’s robust compliance features with Unleash Live’s AI-driven video analytics and automation capabilities, operators can now manage risk, meet regulatory requirements, and streamline their entire workflow, all from one interface.

Why Compliance and Risk Management Matter

Drone technology is transforming operational efficiency in industries such as energy, mining and transportation. However, as drone usage expands, so do the complexities of managing compliance with aviation regulations. Ensuring that every flight is logged, reviewed and approved per regulatory standards is crucial for maintaining safety and avoiding legal penalties.

Manual logging of flight data is time-consuming and prone to errors, which can pose serious risks to business operations. Failing to meet compliance standards could lead to fines, downtime or reputational damage. The need for a streamlined, automated compliance solution has never been greater for large enterprises with multiple drone deployments.

This is where Unleash Live’s integration with AVCRM comes into play. Businesses can minimize compliance risks by automating flight approvals, tracking, and reporting while ensuring safety across their drone operations. It’s a solution that scales with enterprise-level needs.

Flight log sync status can be reviewed in low- or no-connectivity environments in the field

The AVCRM Integration - Enhancing Safety, Compliance and Efficiency

Our integration with AVCRM offers several key benefits that directly address the compliance challenges businesses face:

Seamless Flight Logging: Automatically log all flight data, time, location, mission details, into the AVCRM platform in real-time, ensuring that no flights go unaccounted for.
Enhanced Compliance: Stay compliant with aviation regulations by automating flight approvals, logging flight hours, and generating regulatory reports.
Risk Management: AVCRM’s robust tools allow operators to assess and mitigate risks before every flight, offering peace of mind and reducing the likelihood of operational issues.
Operational Efficiency: By automating flight logging and regulatory reporting, businesses save significant time, reduce manual effort, and ensure that operations run smoothly and safely.

A Broader Impact - Why This Matters for Large Enterprises

While this integration was initially designed for aerial operators and pilots, the broader impact extends to business leaders and enterprises managing complex operational landscapes. Drone fleets are increasingly deployed in industries where compliance and risk management are non-negotiable, particularly when regulations become stricter as drone usage scales.

Enterprises with large infrastructure or critical assets must continuously ensure their operations meet stringent safety and legal standards. Failing to do so could have severe financial and reputational consequences. With Unleash Live and AVCRM integration, compliance becomes a seamless process, allowing companies to focus on optimizing operations rather than getting bogged down by regulatory red tape.

Automated capture with Unleash live's Autofly on a series of power poles, with flight logs sync'ed automatically to AVCRM

Integration Beyond AVCRM - Airdata and API Access

Unleash Live is committed to offering comprehensive, scalable solutions for enterprises, which is why we also integrate with Airdata, another leading flight logging platform. Our open API (Application Programming Interface) allows businesses to access real-time data and insights across their entire fleet, providing unparalleled flexibility in how they manage drone operations and compliance.

Explore our API documentation here for more information on integrating Unleash Live’s tools into your operations.

Driving Compliance, Safety and Efficiency with Automation

At Unleash Live, our mission is to improve drone operations through automation and AI insights continuously. With the AVCRM and Airdata integrations, we provide enterprises with robust tools to automate compliance processes, mitigate risks, and enhance operational safety. Whether managing a single drone or an entire fleet, our solutions help businesses meet regulatory requirements while focusing on core objectives.

This integration is proof of Unleash Live’s ongoing commitment to delivering real business value through automation, compliance, and risk management. It empowers enterprises to scale their drone operations confidently, knowing they have the tools to stay compliant, minimize risks, and drive efficiency.

Learn more about how Unleash Live and AVCRM can simplify compliance and risk management for your drone operations. Visit our API page here for more details on integrating with our powerful solutions.

Personal Protective Equipment (PPE) Detection

getstarted@unleashlive.com (Unleash Live) — Tue, 04 Jun 2024 00:00:00 GMT

In the high-risk environment of the mining industry, ensuring the safety of workers as well as the site itself is crucial and necessary. Traditional methods of enforcing PPE and company workwear compliance can be labor-intensive, inconsistent and prone to human error. Moreover, this becomes a bigger challenge when trying to differentiate between workers and unauthorized persons on site.

Leverage the power of artificial intelligence to monitor and enforce PPE compliance in real-time, significantly reducing the risk of accidents and enhancing overall safety standards. Instantly recognize whether a worker is wearing the appropriate safety gear, such as helmets, reflective vests, gloves and goggles and immediately alert supervisors if any equipment is missing. Automated PPE detection can also identify trespassers or unauthorized persons on site. By detecting individuals who are not wearing the required PPE, the system can quickly flag potential security breaches, ensuring that only authorized personnel are present in hazardous areas. This dual functionality enhances both safety and security, providing comprehensive protection for your mining operations.

By implementing automated PPE detection, mining operations can achieve:

Enhanced Safety Compliance: Consistently ensure that all safety protocols are followed without relying solely on human oversight.
Operational Efficiency: Free up valuable time and resources that can be redirected towards core mining activities.
Reduced Risk and Liability: Minimize the occurrence of safety violations and the associated legal and financial repercussions.
Real-Time Monitoring and Reporting: Gain access to detailed analytics and insights that help in making informed decisions to further improve safety measures.
Improved Security: Quickly identify and address unauthorized access, safeguarding your site from potential intruders.

This comprehensive AI solution is tailored to address the unique challenges faced by the mining industry, offering a robust tool to safeguard workers and streamline safety processes. Whether you are a safety manager, an operations director, or a mining executive, understanding the benefits and implementation strategies of automated PPE detection can transform your approach to worker safety.

Download the full solution brief to learn more about Unleash live's PPE Detection solution.

Automated Tailings Dam Analysis - A Data-Driven Path to Sustainability

getstarted@unleashlive.com (Unleash Live) — Mon, 27 May 2024 00:00:00 GMT

Traditional methods for monitoring tailings dam carbonation, a crucial process for environmental sustainability in the mining industry, often rely on manual calculations. These methods can be time-consuming, prone to human error, and lead to inaccurate data. This lack of precise information can pose environmental risks and hinder efforts to comply with regulations.

Our automated tailings dam carbonation analysis solution offers a powerful method to address these challenges. Computer vision leverages cutting-edge advancements to provide real-time data and insights, empowering mine operators to make informed decisions regarding tailings management.

The solution enhances accuracy and efficiency by automating complex carbonation calculations. This eliminates the potential for human error inherent in manual methods, resulting in more consistent and reliable monitoring results. Additionally, real-time data visualization tools provide valuable insights into the ongoing carbonation process. With this information readily available, mine operators can proactively manage and optimize tailings dam carbonation, promoting a more sustainable approach to tailings management.

Our solution directly contributes to environmental sustainability within the mining industry. By facilitating a more efficient carbonation process, the system helps to minimize the environmental footprint associated with tailings dams. This reduces environmental risks for surrounding communities and leads to a more sustainable mining future.

Our system's real-time data and insights empower informed decision-making. Mine operators can utilize this information to make strategic choices regarding tailings management, ensure compliance with environmental regulations, and mitigate potential risks.

Moreover, our approach is designed with adaptability and cost-effectiveness in mind. It is user-friendly, making it accessible to personnel with varying technical backgrounds. Its flexible and scalable nature allows f

or adaptation to the specific needs of any tailings dam operation, regardless of size or complexity. This cost-effective solution delivers long-term value by improving efficiency, reducing environmental risks, and streamlining compliance efforts.

Implementing our automated tailings dam carbonation analysis system can be a significant step towards a more sustainable future for the mining industry. Contact us today to learn more about how this innovative solution can benefit your operations.

A Guide to Understanding New Passenger Counting Regulations

getstarted@unleashlive.com (Unleash Live) — Mon, 18 Dec 2023 00:00:00 GMT

Discover how to improve passenger counting accuracy and efficiency with computer vision and a seamless digital workflow.

Enhanced Drone Operations with Flight Logging and Video Analytics

getstarted@unleashlive.com (Unleash Live) — Thu, 14 Dec 2023 00:00:00 GMT

The utility industry has significantly shifted towards incorporating cutting-edge technologies to enhance efficiency, safety, and compliance in recent years. With the rise of drone technology, utility companies are leveraging AI companies such as Unleash Live, with their pioneering software and platform that integrates live video analytics with advanced drone flight logging. This integration streamlines asset inspections, provides invaluable data for post-flight analysis, and ensures regulatory compliance.

The Importance of Comprehensive Flight Logging

Comprehensive flight logging is essential in the utility sector, where critical infrastructure is paramount. The logs are a detailed record of where the drone flew, who operated it, the instruments used, and other critical parameters. This information is vital for operational efficiency and crucial in addressing potential legal challenges, particularly regarding bushfires and infrastructure maintenance.

Preventing Future Litigation

One of the primary concerns for utility companies is the risk of litigation, especially in the context of extensive bushfires. In the unfortunate event that a fire is attributed to neglected utility poles or other infrastructure, having detailed flight logs becomes a potent tool for defense. The logs provide a clear timeline of maintenance activities, ensuring companies can demonstrate due diligence in adhering to safety regulations.

Components of Comprehensive Flight Logging

Geospatial Data:

Accurate GPS coordinates and altitude data are logged during each drone flight.
Geospatial information is crucial for precisely identifying the location of utility assets and monitoring changes over time.

Operational Details:

Flight logs capture details such as the date, time and duration of each drone mission.
Information about the pilot responsible for the flight is also recorded, ensuring accountability and compliance with regulations.
The real-time broadcasting of critical metrics such as heading angle, pitch and speed on Unleash Live's Remote Cockpit and Fusion Atlas provides a comprehensive view accessible to multiple viewers. This live feed serves as a valuable tool for presenting the aircraft's movement, orientation and dynamics throughout every stage of a flight. Offering this insight significantly contributes to ensuring the safe and controlled operation of the aircraft.

Instrumentation Data:

Data from instruments used during flights, such as thermal cameras or LiDAR sensors, is logged along with the metadata. This information is valuable for conducting in-depth analyses of utility assets and identifying potential issues before they escalate. Providing accurate geospatial information to increase the value of the collected data.

Live Video Integration:

Unleash Live's innovative integration with live video analytics enables real-time monitoring of utility assets. Live video feeds can be matched with the corresponding flight logs, providing a holistic view of the inspection process.

Post-Flight Analysis and Continuous Improvement:

Flight logs are a record-keeping mechanism and a foundation for post-flight analysis. By reviewing the data captured during drone operations, utility companies can identify patterns, assess asset conditions, and proactively address potential risks. This data-driven approach enhances decision-making processes and contributes to the continuous improvement of asset management strategies.

Battery Management:

Flight logs include information about battery usage. Monitoring this information helps manage battery health effectively, ensuring that batteries are replaced or recharged before they pose a risk during flight.

Future-Proofing with Unleash Live

Unleash Live's commitment to advancing live video analytics further future-proofs utility companies against emerging challenges. The ability to match live video feeds with comprehensive flight logs adds a layer of sophistication to asset inspections, ensuring that every detail is captured safely and efficiently.

Conclusion

In the rapidly evolving landscape of utility operations, embracing technologies like Unleash Live for live video analytics and advanced flight logging is a strategic imperative. Beyond the immediate benefits of operational efficiency and safety compliance, integrating these technologies safeguards against potential legal challenges. As utility companies navigate the complexities of maintaining critical infrastructure, investing in comprehensive flight logging is an investment in both present and future success.

Overall, the flight logs download feature at Unleash Live provides data in a readable format that enhances the overall usability and effectiveness of the information for operators and fleet managers, supporting various aspects of drone operations, inspections workflow and management.

Learn more.

Unleash Live's Latest API Integration Announced - Microsoft Azure

getstarted@unleashlive.com (Unleash Live) — Tue, 25 Jul 2023 00:00:00 GMT

A Powerful Integration for Enhanced Asset Management and Media Storage

Announcing Unleash Live’s latest integration with Microsoft Azure, one of the world's leading cloud computing services. This collaboration provides a robust data transfer solution from Unleash Live's Media Management via an API for a broad range of data, including video, image, flight logs, and analytics.

This latest integration builds on existing cloud integrations with AWS, SAP, and other asset and workflow management tools.

If your company oversees operational assets and workflows in industries such as utilities, renewables, resources, or transport and relies on Azure's Media Storage for secure and scalable media storage, Unleash Live is now equipped to cater to your specific requirements.

Azure export in Unleash live

Unleash Live's Asset Management Capabilities

Unleash Live's computer software transforms how enterprises harness and oversee their visual data. By injecting intelligence into enterprise videos and images, we uncover invaluable insights and actionable knowledge from previously isolated data.

Our advanced AI software significantly enhances operational efficiency by enabling closer asset monitoring, early identification of potential issues, and delivery of data-driven decision-making to optimize operations, resulting in cost reductions, increased productivity, and improved safety measures.

With Unleash Live's Media Drive, inspectors can centralize all their work in one convenient location, facilitating the implementation of centralized control in their workflows. To learn more on this, read our article, 'The Five Benefits of Centralized Control for Your Inspection Workflow.'

Azure Blob Storage: Secure and Scalable Media Storage

Azure Blob Storage is a service for storing large amounts of unstructured object data, such as text or binary data. It's highly scalable, secure, and accessible from anywhere worldwide. Integrating with Azure Blob Storage, Unleash Live offers users a reliable solution for storing and retrieving their media files.

This is particularly beneficial for enterprises that generate large volumes of media content from their drone operations, logs from various sensors, or enterprises like airports or transport management companies, where they generate terabytes to zettabytes of visual data every day, as they can now store and manage their media more efficiently and in a multi-disciplinary way.

The Power of Integration

The integration between Unleash Live's asset management platform and Azure combines the best features of both technologies. Users now have the ability to utilize Unleash Live's advanced live video analytics, connected cameras, and images captured using Autofly to gain real-time insights into their assets. On the other hand, Azure offers a secure and scalable solution for storing the generated media. This integration allows businesses to seamlessly serve these media files directly to their landing pages or workflow portals, even if they are hosted on Azure, without the inconvenience of using a different cloud provider platform.

The integration also simplifies the workflow for users. They can now manage their assets and store their media files on the same platform, reducing the need for multiple tools and streamlining their operations.

Apart from Azure, Unleash Live is a proud Energy partner of Amazon Web Services (AWS), as well as a broad range of Data Visualization, Messaging, Database and Operations partners including SAP, ABB, Siemens, Honeywell and Safety Culture.

Unleash live's API Integration Partners

Summary

The collaboration between Unleash Live and Azure is a significant enterprise proposition for more efficient enterprise asset management and media storage. With the rapid increase in AI Analytics, videos, or drones for asset management, this integration provides enterprises with a powerful solution to manage their assets and store their media files securely and efficiently.

As we continue to innovate and enhance our Unleash Live software solutions, we look forward to providing our users with more integrations and features that can help them optimize their operations and fully harness the potential of Industry 5.0.

Unleash Live & AstraUTM Collaborate for Safer & More Efficient Flights

getstarted@unleashlive.com (Unleash Live) — Thu, 15 Jun 2023 00:00:00 GMT

Unleash Live is pleased to announce its collaboration with AstraUTM to integrate their Un-crewed Traffic Management platform onto Unleash Live’s drone management system. With the aim of ensuring safer and more efficient drone operations in Australia, and worldwide, this partnership will enable users seamless integration of AstraUTM’s airspace management capabilities with Unleash Live’s drone management software.

This collaboration follows the successful partnership between SkyLink UAS, providers of managed services for enterprise beyond visual line of sight (BVLOS) drone operations, and AstraUTM, who have been working for the past 12 months on implementation of the AstraUTM platform in compliance with Australian rules and regulations, bringing a full range of SAAS based UTM subscription plans to the market.

Users of Unleash Live’s platform will be able to leverage AstraUTM’s real-time airspace data and un-crewed traffic management tools, facilitating safe and compliant drone operations, providing customers with the most advanced drone management solutions.

Autofly integrates with AstraUTM to streamline airspace management for drone operators

Bringing advanced air traffic management to the expanding world of drones

The partnership between Unleash Live and AstraUTM comes at a crucial time, as the use of drones in commercial and recreational activities continues to rise rapidly. With this growth comes the need for efficient air traffic management systems that can ensure the safe integration of drones into the airspace. This is where AstraUTM’s expertise comes in, as they specialize in developing advanced air traffic management solutions. By collaborating with Unleash Live, a visual analytics, and collaboration platform for drone operations, AstraUTM can incorporate this technology into their solutions to provide even more accurate and comprehensive situational awareness for air traffic controllers. This partnership has the potential to significantly enhance the safety and efficiency of the growing drone industry.

Busy skies - and getting busier

Many of us are familiar with the role of Airport Traffic Management (ATM), which involves overseeing the arrival and departure of aircraft. The scale of this responsibility is immense, particularly for busy airports where hundreds of flights may be arriving or departing within an hour. For instance, in the US alone, the Federal Aviation Administration (FAA) handles an average of about 45,000 daily flights. Meanwhile, globally, approximately 100,000 flights take off and land every day, underscoring the enormous scale and complexity of air traffic management.

Thousands of daily flights mean operational efficiency is front of mind for airport operators

The use of drones and the development of drone technology has experienced a significant surge in recent years, demonstrating their versatility and value in numerous applications. Drones are being utilized in various industries such as energy and resources such as power lines, wind turbines, smart cities, and agriculture, etc. According to research conducted by the Australian Government’s Department of Infrastructure, Transport, Regional Development, Communications and the Arts (DITRDCA), along with various research organizations, a 10% net productivity gain due to the use of drone technologies could result in a long-term increase in the national real gross domestic product (GDP) of 0.022%, which is approximately A$46 million in present-dollar terms.

With the rapid increase in use of Unmanned Aerial Vehicles (UAVs) including drones, has led governments to impose regulations for safe operation in the airspace. To facilitate the safe and efficient management of UAV traffic, Uncrewed Traffic Management (UTM) has emerged as a crucial tool. UTM’s movements, ensuring their safe integration into the airspace while minimizing the risks to other aircraft and people on the ground.

The revision aims to convey a clearer and more concise explanation of the need for UAV regulations and the role of UTM in facilitating their safe integration into the airspace.

> "10% net productivity gain due to the use of drone technologies could result in a long-run increase in the national real gross domestic product (GDP) of 0.022%, or A$460 million in present-dollar terms."

Source: imoveaustralia.com

The differences between UTM and ATM

The conventional air traffic management (ATM) system relies on a centralized authority such as the FAA, CASA, or EASA to ensure safe and accessible airspace operations. In contrast, Un-crewed Traffic Management (UTM) delegates some of that authority to other entities to provide similar services. UTM uses a modern, machine-centric, and federated approach to manage airspace, which allows for distributed management by various entities working collaboratively to maintain a secure and accessible environment. This approach to airspace management enables more efficient and flexible use of airspace, particularly for drones and other un-crewed aerial vehicles.

Source: skybrary.aero

According to NASA, in 2021, more than 873,000 Unmanned Aircraft System (UAS) are registered to fly in the United States and the number is increasing exponentially. NASA defines UTM as “Unmanned Aircraft Systems (UAS) Traffic Management (UTM) is a collaborative, automated, and federated airspace management approach that enables safe, efficient, and equitable small UAS operations at scale. ”

Proper regulation of air traffic management systems worldwide can lead to a significant increase in commercial applications for aircraft in metropolitan and regional airspaces. Once regulatory frameworks are in place, airspace utilization can be optimized, allowing for a higher volume of aircraft movement while maintaining safety and efficiency.

Functions of UTM

UTM allows for the sharing of critical information among drone operators, organizations managing data sharing, and aviation authorities. Here are some of the functions of UTM:

Shares information about airspace events, such as weather warnings, and specifics about other flights in the vicinity.
Enables users to share information among themselves, aviation authorities, and public safety entities.
Allows drone pilots to execute flight plans for specific missions in low-altitude airspace.
Determines how to facilitate drone operations securely, whether singularly or in multiples, within or beyond the pilot’s visual range.

UTM roles in BVLOS

BVLOS flights refer to drone operations that occur beyond the operator’s line of sight, allowing for longer distances to be covered and increased efficiency in many commercial applications. However, with the increased distance comes the need for more stringent safety measures and cost-effective methods. Effective traffic management is especially critical in BVLOS operations. Regulations regarding BVLOS and Uncrewed Traffic Management (UTM) vary between countries, with Australia, Canada, the US, and some European nations having their unique classifications, as shown in the following table.

Source: droneii.com

Autofly for Remote Operations

The Unleash Live remote operations solution “Autofly” allows asset owners and operators to gain instant oversight of inspections, security, or situational awareness from flights conducted with a UAV. The solution connects the remote command centre with the field operator through a secure ultra-low latency two-way data link facilitating the remote operation of UAVs. This allows operations to be planned in the comfort of the office and pushed to the field device reducing risk and ensuring optimal data capture. The pre-planned missions and asset-specific Smart Inspect missions are saved on your secure cloud account allowing them to be executed at a moment’s notice for repeatable, high-quality inspections at scale.

Some features of Autofly include:

Zero latency live streaming
Remote drone control
Media management in Media Drive
Dropping pins
Executing mission
And many, more

Conclusion

In conclusion, the partnership between Unleash Live and AstraUTM to integrate their un-crewed traffic management platform onto Unleash Live’s drone management system is an essential step towards safer and more efficient drone operations in Australia. The growth of drones in commercial and recreational activities has increased the need for efficient air traffic management systems that can ensure the safe integration of drones into the airspace. UTM has emerged as a crucial tool to facilitate the safe and efficient management of UAV traffic. UTM uses a modern, machine-centric, and federated approach to manage airspace, which allows for distributed management by various entities working collaboratively to maintain a secure and accessible environment. Effective traffic management is critical in BVLOS operations, where the need for more stringent safety measures is essential. With the implementation of proper regulation of air traffic management systems worldwide, airspace utilization can be optimized, allowing for a higher volume of aircraft movement while maintaining safety and efficiency.

Unleash Live Secures ISO 27001 Certification

getstarted@unleashlive.com (Unleash Live) — Thu, 15 Jun 2023 00:00:00 GMT

SYDNEY, Australia - Unleash Live, one of the world’s leading AI video analytics platforms, announces that it has secured ISO 27001 Certification.

This recognizes the importance of Unleash Live in protecting our customer data at all times and helps us maintain our security culture. It demonstrates to our customers that our standards are consistent with global industry best practices.

What is ISO 27001?

Developed by the leading information security experts in the world, ISO 27001 regulates information security management within companies, ensuring that data is kept both available and protected.

It specifies a formal system of controls known as the Information Security Management System (ISMS), which details precise requirements that are then audited to certify compliance by Unleash Live. In particular, the standard requires the examination of Unleash Live’s information security risks and drives us to design and implement safeguards to prevent such risks from occurring. We have then adopted a comprehensive management process to maintain these controls continuously.

Achieving this certification means that we have an official testament that information security is of the utmost importance to Unleash Live and that we handle and protect sensitive data with great care and confidentiality. It demonstrates that we are proactive in our attention to data security threats and employ best practices to minimize them. From the commencement of our engagement, it will also allow our future customers to rest assured that their security concerns are our security concerns.

ISO 27001 requires ongoing annual audit activities to monitor compliance and ensure that, as Unleash Live grows, we maintain and evolve our processes to address our customers’ needs and new threats in the security landscape.

Why Unleash Live has secured ISO 27001 Certification

In addition to clearly demonstrating our commitment to information security:

ISMS significantly reduces the likelihood of any security breach, increasing customer confidence;
In the rare case of a breach occurring, our robust ISMS reduces the disruption and keeps costs to a minimum;
Where our potential customers require certification as a prerequisite, Unleash Live secures a faster review of its offers;
ISMS reduces the time, cost, and general necessity of customer/ supply chain audits and
As privacy legislation grows, adopting ISMS enables Unleash Live to adhere to the legal requirements efficiently.

The certification process

This is the result of a process rooted in how we have always conducted our business: our constant attention to detail and uncompromising drive to deliver top-quality software solutions led to the development of highly standardized procedures and facilitated a smooth adoption of ISMS.

Nevertheless, the process requires a detailed review of all company procedures by external consultants and impacts our complete business. Our employees are reminded of our necessary security measures and appreciate that their roles are all vital in this aspect of our business: it has strengthened our internal organization, increased transparency, and reduced time wastage.

Additional information

Launched in 2016 by now CEO Hanno Blankenstein, Unleash Live’s AI-powered real-time analytics platform, ‘Intelligent Remote Vision,’ generates immediate insights that enable enterprises to materially drive down costs, raise productivity, increase accuracy, and improve safety. The company has seen over 500% growth since March 2020.

Unleash Live reached an impressive milestone in 2021, completing 30 million minutes of analyzed video, providing analytics across a wide range of enterprise and government use cases, from automating inspections for optimized performance on wind farms to supporting public transport operators with commuter, social distancing, and face mask analytics.

Today, Unleash Live's AI App Store supports various use cases, from Solar PV and Power line fault detection to traffic and multi-modal transport analytics. The number of Apps is expected to pass 200 during the next two years.

Customers connect existing image capture devices (CCTV, IP cameras, drones, smartphones, etc.) to Unleash Live's cloud-based platform (built on secure AWS services), start streaming their video, and then apply the AI they choose from the Apps Store. They do not need to invest in any hardware infrastructure, nor do they need to implement large-scale integration programs.

Customers subscribe to a tiered subscription model based on live streaming, secure storage, and AI app modules. Existing customers range from city authorities, such as Miami-Dade Transit Authority, the City of Sacramento, and Transport for New South Wales, to energy and resource businesses, such as Worley and BHP.

AWS Announces Unleash Live as Energy Competency Launch Partner

getstarted@unleashlive.com (Unleash Live) — Thu, 15 Jun 2023 00:00:00 GMT

SYDNEY, Australia - November 29th, 2021 – Unleash Live, a leading AI video analytics platform, announced today that it has achieved Amazon Web Services (AWS) Energy Competency status. This prestigious designation recognizes Unleash Live's deep expertise in helping customers leverage AWS cloud technology to transform complex systems and accelerate the transition to a sustainable energy future.

Achieving the AWS Energy Competency distinguishes Unleash Live as an AWS Partner with proven technical proficiency within the energy industry. This includes demonstrated customer success in developing solutions across the value chain, from project planning and production operations to maintenance, optimization, and new energy solutions. AWS Partners must undergo a rigorous technical validation process, including a customer reference audit, to receive this designation. The AWS Energy Competency allows energy customers to more easily select skilled partners to help confidently accelerate their digital transformations.

“Our customers in the Energy sector are realising the transformative impact of real time video analytics on their operations. And with the scale and security of AWS, this Competency status further establishes Unleash Live as a leading player in video analytics and data insights. Unleash Live is proud to achieve the AWS Energy Competency designation,” said Hanno Blankenstein, CEO and Co-founder. “Our team is dedicated to helping companies achieve their operational security and efficiency goals by leveraging the agility, breadth of services, and pace of innovation that AWS provides.”

AWS enables scalable, flexible, and cost-effective solutions from startups to global enterprises. To support these solutions' seamless integration and deployment, AWS established the AWS Competency Program to help customers identify AWS Partners with deep industry experience and expertise.

Environmental, Social, and Governance (ESG) performance is a key part of the Unleash Live offering for the energy sector. Power utilities, asset owners, operators, and maintenance companies can automate all visual inspection processes through Unleash Live. Whether organizations are just beginning their digitization journey with handheld or head-mounted virtual image and video capture or have advanced drone operations and EVLOS (Extended Visual Line of Sight) or BVLOS (Beyond Visual Line of Sight), Unleash Live’s AI can assist with fast and consistent condition reporting and severity ratings.

Unleash Live builds a digital asset passport with high-resolution imagery, allowing further annotation and collaboration on high-priority issues that need immediate action and connecting into work order management and asset management systems. Custom Machine Learning (ML) algorithms that work right out-of-the-box for power line, wind turbine, and solar PV inspections, along with vegetation management for linear assets such as oil and gas pipelines, can be activated on-demand for monitoring, inspecting, and safeguarding any remote asset or corridor globally.

Getting started could not be easier. Through the AWS Marketplace, AWS Energy customers can now adopt the Unleash Live platform through a simple SaaS subscription service.

Q&A

Q: What does achieving AWS Energy Competency mean for Unleash Live?

A: It recognizes Unleash Live's deep expertise in helping customers leverage AWS cloud technology to transform complex systems and accelerate the transition to a sustainable energy future.

Q: How does Unleash Live support the energy sector?

A: Unleash Live automates visual inspection processes for power utilities, asset owners, operators, and maintenance companies, providing real-time video analytics for enhanced operational efficiency and safety.

Q: What are the benefits of using Unleash Live’s AI for inspections?

A: Benefits include continuous monitoring without shutdowns, real-time condition updates, early issue detection, reduced operational risks, and cost and time efficiency.

Q: How easy is it to start using Unleash Live’s platform?

A: Very easy. Through the AWS Marketplace, energy customers can adopt the Unleash Live platform through a simple SaaS subscription service.

Q: What kind of custom ML algorithms does Unleash Live offer?

A: Unleash Live offers out-of-the-box ML algorithms for power line, wind turbine, and solar PV inspections, as well as vegetation management for linear assets like oil and gas pipelines.

Supercharge Pipeline Inspections With UAV Technology

getstarted@unleashlive.com (Unleash Live) — Thu, 15 Jun 2023 00:00:00 GMT

The energy sector is benefiting from the introduction of UAV technology. Unmanned Aerial Vehicles (UAV), or drones, offer a specific range of benefits as an asset management tool for pipeline inspection and detection of integrity issues.

Drones are the ideal solution for conducting visual inspections of infrastructure and gathering extensive data of linear assets while minimising field staff requirements.

Traditional linear assets such as pipelines pose a significant challenge to inspect and monitor throughout their lifetime in order to reduce construction, operational, and maintenance costs, as well as minimise potential environmental impact.

The value of this information is based on its mobilisation in a logical approach to the inspection process for numerous types of pipeline monitoring and construction operations. In combination, aerial drones and a powerful cloud-based platform can produce online, instantly updated mapping, and annotations for an experienced inspection team to remotely monitor, share, and report.

Apply a Complete Inspection Workflow

The combination of drone service providers and Unleash Lives powerful mapping and modeling technology provides a complete solution through which inspection teams can reduce the time required to inspect pipeline construction, regeneration, and Right of Way (ROW) compliance.

A drone flight in progress

The first step is always a regular, well-planned capture process with a meticulously coordinated flight path for repeatable data capture. This requires good communication between the drone team and the inspection program to get the exact area(s) required.

The captured images are processed on the account to create an accurate 2D orthomosaic, 3D model, and point cloud for analysis by the inspection staff, engineers, or project managers from any connected environment.

Each flight is represented as a layered 2D Orthomosaic in the Fusion Atlas (Unleash Live’s digital asset map) which combines rich contextual data such as approved access roads, environmentally sensitive areas (ESA’s), and landowner parcel data.

Fusion Altas allows existing geospatial data to be imported to accelerate the identification of ROW, mile markers, and previously known issues.

The Unleash Live platform allows integration to industry-standard systems such as ARC GIS to complement existing workflows and software packages. This allows information to be easily shared between GIS specialists and field operators and supports all commonly used formats such as shapefiles, KMZ/KLM, and geoJSON. Additional information such as drone flight logs can also be included to provide additional geospatial context to collected imagery and videos.

Viewing inspection results in Unleash live's Fusion Atlas

The Inspectors are able to pinpoint areas of concern such as erosion, slips, leaks, surface asset damage, bare spots in vegetation that would indicate compaction or spills, and much more. Adding severity and comments allows work orders to be prioritised and reviewed before sending it to the environmental inspectors on the ground. This improves time efficiency by directly pointing inspectors to the appropriate location for field inspection and reporting while arming them with as much information as possible before they reach the location.

Adding and viewing annotations in a geospatial view within Unleash live's Fusion Atlas

The inspection loop is completed by the inspector in the field capturing images and attaching/commenting on the annotation, with the capability of a livestream from a smartphone or drone to display the evidence within the digital asset map.

Viewing live drone video alongside map data in Fusion Atlas

Required reports from the annotation can be produced to be digitally sent to the regulators for review.

Over time these layers become powerful points of evidence, demonstrating to the regulators and landowners the steps taken to resolve issues or points of contention.

Additionally, adding artificial intelligence can increase the speed of detection, with automatic indication of areas requiring review, vegetation regeneration percentage, and difference detection. Contact us to learn more about the use of artificial intelligence to accelerate visual inspections.

Inspectors are just one discipline that benefits from this process. Additional application ranges from;

Land

Current landowner property conditions, lease or purchase negotiations due diligence reporting and documentation, access to current ROW conditions from the office

Legal

Evidence for contentious landowner resolutions & litigation, insurance claims settlements eminent domain proceedings

Contractor

Contractor change order review and negotiations, construction materials quantification, utility Inspections, BMP sequencing documentation, as-builts, variance Request documentation

Construction/Engineering

Slip mitigation and management, redline documentation and reporting management, construction Permits compliance, construction Inspections reporting

Environmental

Environmental permit conditions compliance inspections & reporting, permit violation resolution, variance request support, FERC Weekly/Monthly Reporting

Public outreach

Virtual ROW Tours, construction sequencing education for public and private groups, investor reporting and documentation of progress, contentious media resolution and response

Unleash Live: Regulatory & Compliance

From Image Capture to Operational Control

Why Enterprise Visual Intelligence Is Becoming Essential for Modern Utilities

Moving From Image Collection to Enterprise Visual Intelligence

The Fragmented Inspection Lifecycle

From Visual Data to Governed Intelligence

Standardizing Detection Across the Network

Reducing Cognitive Load While Preserving Expertise

Making Insights Directly Actionable

Visibility Across the Enterprise

The Strategic Shift

Automated Inspections. Any Asset, Any Angle!

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

Automation, Intelligence, and Vision, All in One Platform

Why It Matters

Looking Ahead

Automated Utility Inspections with UAS/RPAS/UAV's & Computer Vision

Webinar Overview

What You’ll Learn

Topics Covered

Who Should Watch

Unlock the Value of Drone AI Inspections for Utility Asset Monitoring

From Cost to Value: Drone Utility Inspections

Proving ROI Without High Upfront Costs

Building Confidence in Accuracy

Starting Small Without Needing an AI Strategy

Technology That Adapts

Learning From Past Pilots

Reducing Workload, Not Adding to It

Secure by Design

Moving From Backlogs to Real-Time Insight

Enhanced Autofly – Smarter, Safer, More Efficient Drone Operations

Regulatory Compliance & Safer Operations

Comprehensive Geospatial Context for Smarter Flights

Advanced Data Read-Outs for Greater Insights

Unlocking New Possibilities Across Industries

The Future of Autonomous Drone Operations

Ready to see Autofly in action?

AI App for Smoke Intensity - Boosting Environmental Compliance

What is the Ringleman Scale?

Why Consistency in Smoke Monitoring Matters

The Role of Unleash Live’s Smoke Intensity Measurement AI App (SIM)

How Does the Smoke Intensity Measurement AI App Work?

Why Is Smoke Monitoring Important?

Use Case Example - Facility Smoke Monitoring Near A Residential Area

Shaping a Sustainable Future with AI-Powered Emissions Monitoring

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

1. Camera Type and Placement

2. Deployment Options

3. Connectivity Options

4. AI Applications

5. Data Frequency, Output Format and Distribution

6. Trial/Proof of Concept vs. Production

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

Summary

Boost Mining Efficiency with AI Video Analytics Upstream & Downstream

Enter AI Video Analytics

Upstream - The Backbone of Mining Operations

Downstream - From Mine to Refinement

Enhanced Compliance and Performance Monitoring

AI in Predictive Maintenance: A Game-Changer for Mining

The Path Forward - AI Video Analytics as a Mining Partner

Flight Logging integrated with AVCRM for Compliance & Risk Management

Why Compliance and Risk Management Matter

The AVCRM Integration - Enhancing Safety, Compliance and Efficiency

A Broader Impact - Why This Matters for Large Enterprises

Integration Beyond AVCRM - Airdata and API Access

Driving Compliance, Safety and Efficiency with Automation

Personal Protective Equipment (PPE) Detection

Automated Tailings Dam Analysis - A Data-Driven Path to Sustainability

A Guide to Understanding New Passenger Counting Regulations

Enhanced Drone Operations with Flight Logging and Video Analytics

The Importance of Comprehensive Flight Logging

Preventing Future Litigation

Components of Comprehensive Flight Logging

Future-Proofing with Unleash Live

Conclusion

Unleash Live's Latest API Integration Announced - Microsoft Azure

A Powerful Integration for Enhanced Asset Management and Media Storage

Unleash Live's Asset Management Capabilities