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PPE detection is a computer vision application that automatically verifies whether workers are wearing required protective equipment -- hard hats, vests, gloves, and safety glasses -- by analyzing camera footage with AI.
Updated 2026-07-09 · 2 min read
PPE detection is when a computer vision model recognizes the people in a camera feed and classifies the protective equipment on them. In Colt AI, this is a feature that automatically verifies the presence of equipment such as hard hats, vests, gloves, and safety glasses.
In short: the system goes one step beyond "there is a person here" and answers, in real time, whether that person is wearing the required equipment.
PPE gaps are a common risk factor in workplace safety. Manual inspection -- a safety officer walking the floor -- can only happen at set intervals and can't provide continuous coverage.
Automated PPE detection runs continuously. At one construction site, this approach resulted in zero undetected safety violations and automated compliance reporting for regulatory audits.
The process starts with a live feed from existing IP cameras or CCTV systems. Deep learning models process every frame, first detecting people, then the objects on them -- hard hats, vests, gloves, safety glasses.
If a required piece of equipment is missing, the system flags it as a violation and sends an instant alert to safety managers via dashboard, email, or mobile.
PPE Compliance is one of Colt AI's six features, running on the same camera feed alongside real-time detection, instant alerts, and an analytics dashboard. No additional hardware is required -- all processing happens in software.
The analytics dashboard generates compliance scores and incident heatmaps, making visible where and how often PPE violations occur.
Colt AI's PPE Compliance feature verifies the presence of equipment such as hard hats, vests, gloves, and safety glasses.
No. It works with your existing IP cameras and CCTV system -- no additional hardware or camera replacement required.
The system sends a real-time alert to safety managers via dashboard, email, or mobile.
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