Unleash Live: Proof Points

White Paper - Visual Analytics for Emissions & Energy Transformation

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

Manual inspection programs were built for a different era of infrastructure complexity. The visual data exists. The fault signatures are there. The problem is that without governed processing and operational integration, that data never becomes a decision. Pairing AI-driven visual analytics with automated drone inspections closes that gap, turning underused imagery into earlier fault detection, preventative maintenance, and lower emissions across both the assets and the inspection programs themselves.

This whitepaper covers the operational reality of computer vision for emissions reduction and energy infrastructure, including deployment contexts, integration requirements, and the outcomes operators are achieving now:

Scalable Emissions Reduction: Catch emissions-generating asset faults earlier and move maintenance toward targeted, preventative action.
Lower Inspection Footprint: Swap crewed aerial and vehicle-based inspections for autonomous drone flights.
Operational Intelligence at Scale: Connect visual findings to asset registers, risk frameworks and work order systems for continuous, auditable insight.
Proven Field Performance: 300% higher defect identification vs. helicopter inspections, 25 to 40% higher field efficiency, and fault detection inside 24 hours.
Accelerated Energy Transformation: Extend asset lifespans, strengthen network resilience, and support renewables integration across distributed networks.

Presented at the Australian Energy Producers conference and published in the Australian Energy Producers Journal, this whitepaper draws on Unleash live's field deployments across utilities, oil and gas, renewables and critical infrastructure. Download the full whitepaper to see how computer vision turns inspections into a measurable driver of emissions reduction and energy network resilience.

Reduce Inspection-to-Action Latency

getstarted@unleashlive.com (Unleash Live) — Mon, 13 Apr 2026 00:00:00 GMT

Webinar Overview

Utilities are under increasing pressure to inspect assets faster, reduce risk, and maintain regulatory compliance. Traditional inspection workflows often involve fragmented tools, manual data collection, and lengthy review cycles that delay action.

In this webinar, we explore how utilities can streamline inspection workflows by combining GIS-driven planning, automated drone capture, and AI-powered fault detection to accelerate the path from inspection to operational decision.

Topics Covered

Centralize asset inspection planning with GIS data
Automate inspection image collection with Autofly (GCS)
Reduce fault detection times from months to hours by applying computer vision (AI) with expert review
Maintain full data sovereignty by owning & retraining AI models on proprietary data.

Speakers

Richard

Richard Braithwaite: Solution Specialist

Richard assists energy companies integrate real-time video analytics into daily operations. A qualified drone pilot, he embeds AI and UAV technology into workflows for faster, safer, and more efficient asset monitoring.

Josh

Josh Nassau: Account Executive

Josh is based in the United States and works closely with utilities and public sector organizations to support the adoption of computer vision for asset inspection and operations. His focus is pairing solutions with real business challenges experienced by his customers.

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

DJI Webinar: Transforming Powerline Inspections with Drones

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

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

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

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

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

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

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

Watch the on demand webinar now.

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

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

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

A Smarter, Safer Approach to Infrastructure Management

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

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

Tackling Bushfire Risks with Advanced Drone Inspections

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

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

From Helicopters to AI-Powered Drone Inspections

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

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

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

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

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

Key Benefits of Drone-Powered Inspections

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

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

Expanding Automation with DJI Dock and BVLOS Operations

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

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

Exclusive Showcase at Australian Energy Expo 2025

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

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

Watch the full video and download the Case Study PDF.

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

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

The key benefits covered in this video include:

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

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

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

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.

Horizon Power Case Study

getstarted@unleashlive.com (Unleash Live) — Thu, 30 May 2024 00:00:00 GMT

The Utilities industry faces significant challenges with manual power line inspections, which are critical for maintaining grid reliability and safety. Manual inspections are time-consuming and labor-intensive and often require workers to access hazardous or remote areas, posing significant safety risks. Inspectors must climb poles or use helicopters and drones, which can be costly and may not comprehensively cover every aspect of the power lines. Additionally, manual inspections are prone to human error and inconsistencies, leading to missed defects or delayed maintenance, resulting in power outages or failures.

Another major challenge is the frequency and scalability of inspections. Traditional methods struggle to keep pace with the growing demand for electricity and the expanding infrastructure of power lines. Weather conditions and difficult terrains further complicate the process, often causing delays and increasing the risk of not identifying potential issues promptly. This can lead to prolonged downtimes and increased maintenance costs due to reactive rather than proactive maintenance strategies.

Automated power line inspections offer significant benefits in addressing these challenges. By employing advanced technologies such as drones, satellites, artificial intelligence (AI), and machine learning (ML), utilities can achieve more efficient, accurate, and comprehensive inspections. Drones equipped with high-resolution cameras can quickly cover vast areas, capturing detailed images and data that are then analyzed by AI algorithms to detect faults, corrosion, and other anomalies. This enhances the consistency and reliability of inspections, reducing the risk of human error.

Moreover, automated inspections can be conducted more frequently and under various conditions, ensuring timely identification of potential issues. This proactive approach enables utilities to perform maintenance before problems escalate, ultimately reducing downtime and costs. Additionally, the data collected through automated systems can be stored and analyzed over time, providing valuable insights for predictive maintenance and long-term planning. Thus, automated power line inspections improve operational efficiency and safety and contribute to a more resilient and reliable power grid.

Learn more about how Horizon Power uses Unleash live for their asset inspections.

DC Motor Condition Monitoring through Automated Spark Detection AI

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

Ensuring effective spark detection on DC motors is essential for maintaining safety, enhancing efficiency, and optimizing maintenance processes. Large motor brushes, which are critical for motor function, require regular inspections to prevent malfunctions and maintain performance. Traditionally, these inspections are conducted manually, requiring maintenance crews to check the motors while they are operational. This approach is not only time-intensive but also poses significant safety hazards for the workers involved, as they are exposed to potentially dangerous conditions while the motors are running.

Manual inspections necessitate operating the machines at reduced speeds to ensure the safety of maintenance personnel. This practice leads to a decrease in production efficiency, as the machinery is not utilized to its full potential. Over time, operating below the designed speeds results in significant production losses, which can be financially detrimental, particularly in high-volume manufacturing settings. The impact on productivity and efficiency can be substantial, as machines are not performing at their optimal capacity.

Furthermore, manual inspection methods often fall short in identifying the underlying causes of sparking in DC motors. Sparks can indicate various issues, such as brush degradation, misalignment, or problems with the commutator. Without pinpointing these root causes, it becomes difficult to adjust the motor’s operating parameters accurately. Consequently, the motor may not perform optimally, and its longevity could be compromised. Inconsistent and incomplete data from manual inspections can lead to misdiagnosis and improper calibration, exacerbating operational inefficiencies.

Implementing automated spark detection systems addresses these challenges by continuously monitoring motor brushes for sparking. These systems provide real-time data and alerts, allowing maintenance teams to address potential issues promptly and prevent them from escalating. This proactive maintenance approach ensures that motors operate safely and efficiently. Automated systems can also diagnose the precise causes of sparking, enabling precise adjustments to the motor's operating parameters. This capability enhances motor performance and extends its service life by preventing excessive wear and tear. Download the full solution brief to learn more about Unleash live's Spark 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.

Automated Valve Monitoring Solution Brief

getstarted@unleashlive.com (Unleash Live) — Fri, 24 May 2024 00:00:00 GMT

The fight against climate change hinges on technologies like carbon capture, which trap emissions before they enter the atmosphere. However, these systems rely heavily on the proper functioning of valves to ensure smooth operation and prevent environmental hazards. Traditional manual monitoring methods are unreliable and prone to human error, leaving room for malfunctions and safety risks.

This is where a revolutionary AI-powered solution offers a comprehensive and intelligent approach to valve monitoring. The system automates real-time valve position detection by leveraging existing plant cameras. Using intelligent image analysis, it identifies valves and generates immediate alerts if their positions deviate from predefined open or closed states. This proactive approach ensures timely intervention, preventing potential escalations and safeguarding personnel.

A key advantage of this solution lies in its seamless integration with existing infrastructure. The system effortlessly connects with current camera and control systems, eliminating the need for major overhauls and minimizing disruption to ongoing operations. This minimizes upfront costs and ensures a smooth transition to a more intelligent monitoring system.

The benefits of this AI-powered approach are far-reaching. Safety is paramount, as early detection of incorrectly positioned valves prevents accidents and safeguards personnel working with potentially hazardous materials. Streamlined procedures, facilitated by real-time monitoring and alerts, enhance operational efficiency and minimize disruptions. Additionally, cost savings are significant. Reduced downtime and early issue detection prevent costly repairs and maintenance interventions. The system's high accuracy minimizes reliance on field personnel for manual checks, further streamlining operations and optimizing resource allocation.

By harnessing the power of AI and leveraging existing infrastructure, this valve monitoring system guarantees the smooth operation of carbon capture facilities. It paves the way for a more efficient, reliable, and safer carbon capture process, contributing significantly to our fight against climate change. Furthermore, the underlying AI technology boasts the potential to be adapted for various industrial applications. This opens doors for promoting digitization and automation across the sector, leading to a future with more efficient and sustainable industrial processes.

Commuter counting analytics for metro stations

getstarted@unleashlive.com (Unleash Live) — Mon, 06 May 2024 00:00:00 GMT

Local authorities need reliable data to understand and manage constrained transportation networks. Commuters expect real time data for minimal disruption on their daily life. Our SaaS platform turns visual information into structured data to add an additional layer of insights when making important operational decisions.

In this AWS Public Sector Summit Online presentation, James Kwong, Head of Product at Unleash live delves into how Miami-Dade County Metro and other transport providers were able to overcome challenges brought by the Covid-19 pandemic using commuter counting analytics as solution.

To access the presentation, kindly provide us your email, first name, last name, company name, and job title. Rest assured, Unleash live values your privacy and will only utilize your information to inform you about our exceptional products and services. You may unsubscribe at any time. For more details, please refer to Unleash live's comprehensive Privacy Policy.

Presentation - The Complete Digital Wind Farm Inspection Solution

getstarted@unleashlive.com (Unleash Live) — Mon, 06 May 2024 00:00:00 GMT

Our CEO, Hanno Blankenstein presents Unleash live's Windfarm AI solution at the Wind Power Data virtual event.

To access the presentation, kindly provide us your email, first name, last name, company name, and job title. Rest assured, Unleash live values your privacy and will only utilize your information to inform you about our exceptional products and services. You may unsubscribe at any time. For more details, please refer to Unleash live's comprehensive Privacy Policy.

Watch the presentation now!

Tilt Renewables Solar Case Study

getstarted@unleashlive.com (Unleash Live) — Wed, 01 May 2024 00:00:00 GMT

Combining Autofly with thermal image analysis, Unleash live inspects solar PV plants for panel faults and vegetation. This ensures better maintenance programs and higher energy production.

Optimize your Transportation Network with AI Visual Analytics

getstarted@unleashlive.com (Unleash Live) — Tue, 02 Apr 2024 00:00:00 GMT

Dive into the Future of Transportation

Discover how AI Visual Analytics are transforming transportation networks, unlocking unprecedented efficiency, safety and commuter satisfaction. From real-time insights to visionary planning, explore a future where every journey counts towards a sustainable, seamless tomorrow!

The ITS Roads, Tolling and Technology 2024 recorded presentation was given by Unleash live's Director of Cities & Transport, Michael Swanander.

Register your details to receive a copy of the recording.

Airport Curbside Management Case Study

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

A leading Australian international airport aimed to enhance efficiency without expanding infrastructure, focusing on Curbside Management. Unleash live's solution offered real-time insights into dwell time, double parking, unattended baggage, staff locations, traffic flow and rule breaches. This proactive approach optimized curbside operations, enhancing both passenger experience and operational efficiency.

Live Demo Webinar: Automate and Scale Power Line Inspections

getstarted@unleashlive.com (Unleash Live) — Mon, 18 Mar 2024 00:00:00 GMT

Join our expert team for a live demonstration on how to automate power line inspections.

Witness firsthand how our Autofly solution paired with drones and advanced analytics, streamlines real-time data collection and analysis.

Key takeaways:

High-quality imagery production for energy assets
Automated & asset allocated image collection for scalability
Streamlining multiple assets inspections into a single mission
Ensuring accurate pole/asset location information
Create work orders and allocate field teams
Remote viewing & mission execution with Autofly & Remote Cockpit

Watch the on-demand webinar now!

Automating Wind Turbine Asset Inspections Solution Brief

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

From manufacturers and owners, through to operators, maintenance and service providers, there is a strong vested interest in maintaining and extending the life of wind assets. The life tenure of these assets directly correlates with the viability of wind as a long term alternative solution to existing fossil fuels.

The life span and productivity of wind turbines can be extended through automated drone inspection and cloud based AI.

Quantifying Filter Press Operational Health Solution Brief

getstarted@unleashlive.com (Unleash Live) — Wed, 10 Jan 2024 00:00:00 GMT

Continuous Monitoring with AI - Revolutionizing Filter
Press Maintenance and Efficiency

In industrial operations, particularly in sectors like mining and refining, maintaining the efficiency and longevity of critical equipment such as filter presses is essential. Traditional maintenance approaches often rely on scheduled inspections based on historical data, which can lead to unplanned maintenance events like blowouts, resulting in costly downtime and operational disruptions. Unleash live’s AI-driven solution is transforming this process through continuous monitoring and real-time insights.

AI-Driven Insights for Predictive Maintenance

Unleash live’s advanced AI algorithms provide real-time monitoring of filter presses, generating customized health scores based on key indicators such as the size and angle of dropping mud cakes, cadence, and other operational parameters. This continuous monitoring ensures that potential issues are identified before they escalate, allowing for timely interventions that prevent blowouts and minimize unplanned maintenance. By shifting from reactive to predictive maintenance, companies can significantly reduce downtime, ensuring that their operations remain smooth and uninterrupted.

Optimized Maintenance for Enhanced Longevity

One of the standout benefits of this AI-driven solution is its ability to automate maintenance scheduling. Traditional time-based maintenance practices often do not account for the specific conditions of each filter press, leading to either premature interventions or delayed actions that can compromise the equipment's efficiency. Unleash live’s AI analyzes real-time data to optimize maintenance schedules, such as timely cloth replacements, extending the lifespan of the filter press and reducing operational costs.

Boosting Operational Efficiency and Safety

The AI solution not only enhances the efficiency of maintenance but also contributes to overall operational efficiency. By ensuring that maintenance is performed only when necessary, the end flow of operations is optimized, and consumable costs are reduced. Additionally, the need for manual inspections in hard-to-reach or potentially hazardous areas is minimized, making the process safer for personnel.

Proven Results in the Field

Unleash live’s AI-driven monitoring has already demonstrated its effectiveness in improving productivity and operational efficiency across various industries. By ensuring that maintenance actions are timely and based on real-time data, companies have seen a significant reduction in downtime and enhanced equipment performance.

This innovative solution represents a significant leap forward in how industrial maintenance is managed, ensuring that operations are not only more efficient but also safer and more cost-effective.

Automating Solar PV Inspections with AI Solution Brief

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

Inspecting Solar sites has traditionally relied heavily on physical inspections. Operators have typically relied upon energy production to be managed at an inverter level, as finding the root cause is a time consuming activity that can take weeks.

The output capacity and service life of solar PV panels can be greatly increased through regular and comprehensive inspections.

Unleash Live: Proof Points

White Paper - Visual Analytics for Emissions & Energy Transformation

Reduce Inspection-to-Action Latency

Webinar Overview

Richard

Richard Braithwaite: Solution Specialist

Richard assists energy companies integrate real-time video analytics into daily operations. A qualified drone pilot, he embeds AI and UAV technology into workflows for faster, safer, and more efficient asset monitoring.

Josh

Josh Nassau: Account Executive

Josh is based in the United States and works closely with utilities and public sector organizations to support the adoption of computer vision for asset inspection and operations. His focus is pairing solutions with real business challenges experienced by his customers.

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

Webinar Overview

What You’ll Learn

Topics Covered

Who Should Watch

DJI Webinar: Transforming Powerline Inspections with Drones

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

A Smarter, Safer Approach to Infrastructure Management

Tackling Bushfire Risks with Advanced Drone Inspections

From Helicopters to AI-Powered Drone Inspections

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

Key Benefits of Drone-Powered Inspections

Expanding Automation with DJI Dock and BVLOS Operations

Exclusive Showcase at Australian Energy Expo 2025

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

Personal Protective Equipment (PPE) Detection

Horizon Power Case Study

DC Motor Condition Monitoring through Automated Spark Detection AI

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

Automated Valve Monitoring Solution Brief

Commuter counting analytics for metro stations

Presentation - The Complete Digital Wind Farm Inspection Solution

Tilt Renewables Solar Case Study

Optimize your Transportation Network with AI Visual Analytics

Airport Curbside Management Case Study

Live Demo Webinar: Automate and Scale Power Line Inspections

Automating Wind Turbine Asset Inspections Solution Brief

Quantifying Filter Press Operational Health Solution Brief

Continuous Monitoring with AI - Revolutionizing FilterPress Maintenance and Efficiency

AI-Driven Insights for Predictive Maintenance

Optimized Maintenance for Enhanced Longevity

Boosting Operational Efficiency and Safety

Proven Results in the Field

Automating Solar PV Inspections with AI Solution Brief

Continuous Monitoring with AI - Revolutionizing Filter
Press Maintenance and Efficiency