Machine Utility Tracking

Enhance efficiency of heavy machinery with AI.

Machine Utility Tracking BNR

Monitory machinery usage and real time alerts

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Machines are an integral part of industries like manufacturing, mining and construction. But inefficient utilization, unauthorized usage and unsafe operations result in downtime, accidents and increased costs. AI-powered monitoring helps track productivity, prevent misuse and promote safe operations through instant alerts.

Our holistic view to challenges

Challenges

Inefficient utilization

Inefficient utilization

Operators often leave machines running or overuse them, which results in reduced efficiency and high maintenance costs.

Performance tracking

Performance tracking

Computer vision tracks machine activity, detects idle time and overuse patterns to optimize operations.

Unauthorized access

Unauthorized access

Operating in unauthorized places or with untrained personnel can lead to losses and safety risks.

Continuous monitoring

Continuous monitoring

AI systems monitor the machinery usage to detect operations at unauthorized places or by unauthorized personnel.

Features

Safety risk

Safety risk

Improper usage or non-compliance with protocols can easily lead to accidents and injuries.

Safety monitoring

Safety monitoring

AI analyzes video feeds to detect unsafe practices, improper handling and workers in danger zones.

Operational costs

Operational costs

Not using the machines for the promised operation period can also incur losses for the organization.

Efficiency analysis

Efficiency analysis

AI identifies if the machinery is idle when it should be working and gives alerts in real time.

AI-powered machine utility tracking can improve equipment utilization by up to 20%, reducing costs and increasing productivity.

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Who benefits from Machine Utility Tracking?

Machine utility tracking is important when the cost per hour of the machine operations is high, or it can only be used by trained personnel.

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  • Manufacturing plants
  • Construction sites
  • Mining operations
  • Warehousing & logistics hubs

How it works?

process
Assessment & integration

Assessment & integration

We evaluate the existing CCTV coverage, expand if needed and integrate AI-driven monitoring solutions.

AI model training

AI model training

Machine learning models are trained to detect machine usage, operator behavior and safety compliance.

Automated video analysis

Automated video analysis

Live footage from the CCTVs is monitoring to identify inefficiencies, unauthorized access and risks.

Optimization

Optimization

The system is refined for improved accuracy and adherence to changing industrial safety standards.

Insights on innovation

Stay updated with the trending and most impactful tech insights. Check out the expert analyses, real-world applications, and forward-thinking ideas that shape the future of AI Computer Vision and innovation.

January 27, 2026 - 7 minutes to read

The Hidden Value of Visual Recordkeeping in Logistics and Manufacturing

7:45AM at a busy automotive parts manufacturer. A delivery truck arrived at the dock. Usually, supervisors would take 10 minutes to scan paperwork. They’d also be keying in data. Instead, a camera quietly recorded the container ID, logged upon its arrival. And it tagged the shipment to a specific production line. All without a single […]

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January 26, 2026 - 6 minutes to read

What really changes when Container Movement is Tracked Visually & not Manually

It’s 2:14 PM at a busy CFS gate. A trailer rolls in. The container is old, dusty and sun faded. The number is readable, but only if you look closely. The driver wants to move fast. The queue behind him is growing. The gate operator does what they have always done. Reads the container number. […]

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January 22, 2026 - 6 minutes to read

How AI Vision is transforming Modern Logistics Operations

Modern logistics depend on speed. Accuracy and visibility keep logistics moving. Across container yards and CFS hubs… teams still face blind spots. They rely on manual checks and delayed data. This leads to missed damages and inefficient movement of assets. Logistics teams can see clearly by combining cameras with computer vision. They can understand and […]

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Ruchir Kakkad

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