Unleash Live: Enterprise Program Design

The Monitoring Gap Costing Mining Operations More Than You Realise

getstarted@unleashlive.com (Unleash Live) — Tue, 02 Jun 2026 00:00:00 GMT

There is a structural problem embedded in how most mining operations monitor and inspect their assets and processes, and it is expensive.

The current model is familiar: inspections are scheduled, crews are dispatched, footage is collected, reports are compiled. At each stage, time passes. Between each inspection, the site continues to operate. Conveyors run, crushers process, tailings ponds settle, heavy vehicles cycle. Largely unseen. The assumption holding this model together is that nothing critical will happen between inspection cycles. That assumption is increasingly difficult to defend.

The mining sector's operating environment has changed. Regulatory scrutiny around tailings dam stability, methane detection, and environmental containment has intensified. Contractor costs have risen. Asset replacement cycles are under pressure. What is less well understood is the degree to which the periodic inspection model actively creates exposure to each of these risks.

This is the monitoring gap, closing it is now an enterprise priority.

Why Periodic Inspection Has a Built-In Ceiling

Periodic inspection was designed for a world where capturing visual data was labour-intensive and asset-by-asset. You scheduled a team, walked a corridor, reviewed footage. The output was a point-in-time record.

That model made sense when it was the only option. It no longer is.

The ceiling it imposes is structural. You can optimize inspection frequency, reduce crew deployment costs, and improve reporting turnaround. But you cannot see what happens between cycles. A hot roller developing along a conveyor belt, a filter press approaching a blowout condition, a containment anomaly at a tailings facility: these events do not wait for the next scheduled inspection. They develop, escalate, and in some cases cause material damage within hours and sometimes within minutes.

The financial consequence is asymmetric. The cost of a scheduled inspection program is predictable and manageable. The cost of a single unplanned shutdown, covering equipment damage, production loss, contractor mobilisation, and regulatory notification, is not.

Three metrics define that exposure in terms that belong on an executive dashboard.

Hot Roller Detection on Conveyor Belt

Unplanned downtime hours: The conditions that precede most equipment failures are visually detectable before they cause a stoppage. The window between first visible indication and failure event is where continuous monitoring operates, and where periodic inspection is absent by design.

Monitor Tailings Dam Stability

Planned versus unplanned maintenance ratio: Operations running assumption-based maintenance schedules carry significant hidden cost. Maintenance happens when the calendar says so, not when asset condition warrants it. The result is over-servicing of healthy assets and under-servicing of assets that deteriorate between cycles.

Overall equipment effectiveness: Continuous visual monitoring closes the gap between scheduled inspection and actual asset condition. Assets run closer to operational potential when condition data is current, not weeks old.

What Continuous Monitoring Changes

The shift from periodic inspection to continuous site monitoring is not an incremental improvement to the existing model. It is a structural change in how visual data generates operational value.

A continuously monitored site captures, processes, and acts on infrastructure visual data in real time. Cameras, sensors, and UAV systems feed into a governed intelligence layer that detects anomalies, triggers alerts, and creates auditable records without requiring a human to review every frame. One camera stream can run multiple computer vision models simultaneously, routing asset condition data to a reliability team, safety compliance alerts to a safety manager, and proximity breach notifications to a control room, all from the same source.

Across the mining value chain, this changes the risk and cost profile in specific ways.

GET Wear Detection

Ground Extraction Tools: GET wear and missing tooth detection moves from post-shift manual checks to continuous automated detection, reducing the risk of downstream crusher damage. Bucket payload monitoring delivers real-time production data without crew deployment.

Crusher Boulder Size Detection

Material Handling: Crusher analytics and boulder detection flag feed conditions before they become stoppages. Conveyor monitoring shifts from reactive maintenance to condition-based intervention. Hot roller detection operates continuously, reducing the risk of belt fires and associated production loss.

Mineral Processing and Tailings Management: Filter press health monitoring with blowout prevention logic reduces both production loss and environmental exposure. Tailings dam stability monitoring moves from scheduled surveys to continuous surveillance. Methane detection and containment loss monitoring create auditable compliance records without manual inspection cycles.

Continuous monitoring reduces the window of undetected risk. Smaller windows mean fewer unplanned events. Fewer unplanned events mean lower OPEX, deferred CAPEX, and reduced regulatory exposure.

Compliance is Mandatory, Automate It.

Mandated monitoring requirements for tailings facilities, emissions, and safety-critical zones are expanding across jurisdictions. The compliance burden is shifting from periodic to continuous evidence.

Regulatory compliance rate: Mandated monitoring requirements met automatically, documented, timestamped, and audit-ready without additional headcount, represent a fundamentally different compliance posture than inspection reports reconstructed after the fact.

Time to evidence: When regulators, insurers, or auditors make a request, the question is not whether evidence exists but how quickly it can be produced. Continuous monitoring generates timestamped, classified, source-linked records automatically. Operations that cannot produce this evidence on demand face audit risk and the operational cost of manual reconstruction.

Operations that build automated monitoring infrastructure now are building compliance capacity ahead of the requirement curve. Operations that wait are accepting escalating retrofit cost and regulatory exposure.

The Enterprise Requirement: Governance at Scale

Isolated monitoring deployments do not constitute an enterprise monitoring capability. They constitute a pilot. And the mining sector has accumulated a significant inventory of pilots that have not scaled.

The reason is governance. Without a standardised architecture for how visual data is captured, processed, stored, and acted upon across sites, each deployment remains operationally siloed. Data formats differ. Alert logic is inconsistent. Reporting cannot be consolidated. When a regulatory enquiry or insurance review requires cross-site evidence, the data cannot be assembled.

Enterprise-grade continuous monitoring requires a platform architecture that addresses the full data lifecycle. Capture must be hardware-agnostic, with no proprietary equipment mandates and no rip-and-replace of existing infrastructure or video management platforms. Processing must occur close to the source where data sovereignty requires it, with cloud consolidation available for portfolio-level visibility. Detection logic must be governed through a managed model library, not ad hoc scripts managed by individual site teams. Action must be integrated into existing operational workflows, with outputs reaching SCADA, PLCs, and enterprise platforms including SAP, IBM Maximo, AVEVA, and SafetyCulture, not an isolated dashboard that sits outside the workflow.

This is the architecture distinction between a monitoring product and a monitoring platform. The former solves a localized problem. The latter becomes the visual data backbone of the enterprise.

The Commercial Case

The financial argument for continuous site monitoring requires a straightforward accounting of present costs. A single avoided crusher stoppage, conveyor belt fire, or filter press blowout typically offsets the operational cost of a multi-site monitoring program for a significant portion of the year. The exposure is not hypothetical. It is the known cost of events that periodic inspection programs detect after the fact, or not at all. Periodic inspections and maintenance is a human led endeavour, condition led inspections and maintenance are automated and the cost is negligible.

The question facing mining operations leadership is not whether continuous site monitoring is technically feasible. It is. The question is whether the organization has the architecture to capture its value at enterprise scale, or whether it will continue to manage monitoring as a collection of site-level pilots with no common data standard and no ability to benchmark performance across the portfolio.

Unleash live is the infrastructure layer that closes that gap. It standardises how mining operations capture, process, detect, and act on infrastructure visual data across sites, across workflows, and across the regulatory environments in which they operate.

The monitoring gap is a cost. Closing it is a decision!

Request an Operational Benchmark Review to assess your current monitoring coverage against production uptime and regulatory risk exposure across your site portfolio.

Embedding AI to Optimize Operations Across Enterprises

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

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

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

AI Only Delivers Value When Operationalized & Deployed Strategically

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

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

From Visual Data To Operational Decisions

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

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

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

Utilities & Renewables: Scaling Inspection & Resilience

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

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

AI detection of contaminated polymer insulators

Cities & Transport: Safety & Consistency At Scale

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

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

Gain valuable insights into vehicles' dwell time

Mining & Resources: Reducing Exposure & Improving Oversight

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

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

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

Oversized boulder identified on conveyor

Industrial Manufacturing: Preventing Downtime Through Consistency

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

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

Automated insights of manufacturing floor equipment

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

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

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

Rapidly identify critical areas at risk

Why Consistency Beats Cleverness

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

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

Effective AI Deployments Supplement & Optimize Existing Operations

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

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

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

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

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

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

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

Crunchbase placed Unleash Live among the hottest AI companies globally!

What’s Fueling the Growth?

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

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

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

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

⚡ Energy & Utilities

Use Case: Drone-powered inspections with Endeavour Energy

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

Use Case: Solar panel analytics with Tilt Renewables

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

Use Case: Wind turbine inspections

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

🚉 Transport & Public Safety

Use Case: Level crossing monitoring with TfNSW

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

Use Case: Flood and fire situational awareness

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

⛏ Mining

Use Case: Haul road monitoring and vehicle compliance

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

Use Case: Perimeter and zone safety compliance

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

Use Case: Environmental and operational surveillance

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

Why It Matters

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

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

What is a Crunchbase Heat Score?

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

See It for Yourself

📈 Explore our Crunchbase profile: 🔗 Unleash Live on Crunchbase

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

Let’s talk.

Inside the Program Office at Unleash Live

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

Behind every successful technology implementation is a structured, and forward-thinking program manager. At Unleash Live, Alistair Bridie plays that role. With a background in consulting, operations, and tech delivery, Alistair brings a grounded, execution-focused lens to scaling real-time AI video analytics across complex industries. We sat down with him to talk delivery strategy, customer impact, and what excites him most about working at Unleash Live.

Q: Alistair, tell us about your role at Unleash Live.

A: I lead end-to-end delivery for some of our most strategic enterprise programs. That includes managing timelines, coordinating work across teams, and ensuring our customers realise the desired real-world outcomes, in a timely manner. My job is to ensure our AI/ML (Machine Learning) based drone and camera solutions go from idea to operations smoothly, whether it’s a utility inspecting power lines or a transport authority monitoring infrastructure.

Q: What do you enjoy most about what you do?

A: Every day is different, which I love. One day I’m working with our AI team to scope new analytics for a transport network, the next I’m in a post-incident debrief with emergency services, unpacking how our platform helped reduce response times. The work is technical and strategic, but also deeply operational. You can see the benefits quickly and in some cases immediately.

Q: What’s the most critical part of program management in an AI tech company like Unleash Live?

A: Communication and alignment. AI can be abstract, and our customers are often under pressure to deliver results in the field. It is my role to ensure that our AI capability addresses the customers’ use cases, keep stakeholders informed, and make sure everyone—internal and external—is working together. Programs only succeed when there’s shared clarity on what success looks like.

Q: You’ve delivered across utilities, transport, mining, and public safety. What makes a successful rollout?

A: Start small and achieve quick wins, then scale fast. We always anchor to a clear business challenge—like reducing inspection time or identifying faults earlier. Then we run a controlled pilot, validate the outcomes, and scale with confidence. Unleash Live’s platform is modular and cloud-native, which helps us move quickly without heavy infrastructure lift.

Q: What are some of the most exciting programs you’ve worked on?

A: One standout was with a major utility company transitioning from helicopter inspections to autonomous drones for asset inspections and condition assessment. It wasn't just a tech shift—it changed how they worked. Another was a transport authority using real-time analytics to monitor track conditions after storms. Seeing AI directly improve safety and operational uptime is incredibly rewarding.

Q: What sets Unleash Live apart in terms of delivery?

A: Speed and agility. We don’t just hand over software—we partner closely through the entire journey. We have deep expertise in AI and video analytics, but we’re also hands-on, always focused on understanding our customers’ needs. Our teams are out in the field, flying drones, training models, and working alongside our customers. That practical, outcome-led approach is key.

Q: Where do you see program delivery going next for Unleash Live?

A: We’re leaning into full automation—think drone-in-a-box, AI at the edge, real-time reporting without human intervention. That shift requires even tighter program coordination across hardware, software, and regulatory compliance. It's a space where program management can really unlock scale.

Q: Any advice for others looking to work in program roles in emerging tech?

A: Be adaptable and always ask, “What’s the desired outcome?” The tech will evolve, but the value is in solving real problems. Stay close to your customers, be honest about what’s working, and don’t be afraid to iterate. Also, learn the language of engineers, data scientists, and end users—it makes a huge difference.

Join the Team That’s Scaling Real-World AI

At Unleash Live, program delivery is more than project management—it’s about driving change at scale. If you're passionate about technology and love building solutions that matter, we’re hiring.

🔗 Learn more at Unleash Live.

🔗 See what current open roles we have at Unleash Live.

Automated Industrial Meter Reading - Safer, Smarter Operations at Scale

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

Relying on manual meter readings is no longer sustainable in industries where precision, safety, and efficiency are non-negotiable. Whether it’s a remote oil pipeline valve station or a high-voltage utility substation, manually logging gauge readings is time-consuming, error-prone, and potentially hazardous.

Unleash Live solves this challenge with an automated meter reading solution that uses computer vision to continuously monitor and interpret analog and digital meters—no physical inspections required.

Why It Matters - The Industrial Reality

In industrial settings like oil and gas and large-scale utilities, analog gauges and digital displays remain standard. These instruments provide critical readings for pressure, temperature, flow rates, voltage, and current—data that directly affect operations, compliance, and safety.

Yet, collecting this data manually presents several challenges:

Exposure to hazardous environments
Inconsistent logging due to human error
Delayed responses to abnormal readings
High labour costs for routine checks

Automating this process isn’t just about convenience but safety, operational continuity, and better decision-making.

Use Case - Oil & Gas Operations

In upstream and midstream operations, equipment such as separators, compressors, and storage tanks depends on continuous monitoring. Manual readings of pressure and temperature gauges often require staff to enter potentially explosive zones or remote locations, sometimes multiple times per shift.

With Unleash Live, video feeds from fixed or mobile cameras can automatically read dial positions, interpret digital outputs, and identify color-coded indicators (e.g., red for alert conditions). These readings are logged in real time, allowing engineers to detect early signs of pressure anomalies or temperature deviations without setting foot on-site.

Over time, this data can also be trended to support condition-based maintenance strategies, helping teams replace parts before failures occur.

Use Case - Utility Substations

Electric utilities often operate thousands of substations in hard-to-reach or unmanned locations. Despite the rise of SCADA systems, many critical gauges still require visual checks.

Unleash Live’s solution allows utilities to monitor analog voltmeters, ammeters, and indicator lights remotely—capturing values like transformer load or circuit breaker status visually and integrating them into centralized dashboards.

The benefits? Faster response times during outages, improved reporting accuracy, and fewer truck rolls just to check a meter.

Key Features

Visual Data Capture from Existing Infrastructure
Supports both analog and digital displays with no hardware changes needed.
Real-Time Data Extraction and Overlay
Converts visual readings into structured data with timestamped logs and alerts.
Custom Alerts and Anomaly Detection
Automatically flags readings that fall outside normal parameters or change too rapidly.
Flexible Deployment
Can run on existing infield cameras, fixed site cameras, or mobile devices.

Benefits to Industrial Operators

Increased Safety - Reduces the need for staff to access hazardous areas.
Improved Accuracy - Eliminates human error and subjectivity from meter readings.
Faster Decision-Making - Real-time visibility enables immediate response to equipment changes.
Lower Operational Costs - Reduces routine travel, site visits, and manual logging.

Getting Started

Unleash Live’s automated meter reading is part of our broader platform that transforms video into structured, actionable data. It works out of the box with most existing camera feeds and integrates into your asset management, SCADA, or analytics platforms.

If your team still relies on manual logs for critical gauge readings, it’s time to modernize. With computer vision, you can make your industrial operations safer, more efficient, and ready for what’s next.