RESOURCES
Guides and definitions on computer vision, workplace safety, and PPE detection — the concepts behind Collbrai's camera AI ecosystem.
Computer vision uses AI to analyze camera footage and detect workplace safety violations, PPE gaps, and hazardous conditions in real time. This guide explains the concept and how Colt AI applies it.
2 min readReadPPE 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.
2 min readReadZone violation detection is a computer vision application that continuously analyzes camera footage with AI to detect unauthorized access to restricted areas in real-time.
3 min readReadBehavior analytics is an AI-powered security approach that monitors multiple video feeds, detects anomalous patterns, and prioritizes threats in real-time -- turning existing cameras into an intelligent security network.
3 min readReadMost cameras are blind -- they record but never understand. This comparison covers the difference between traditional camera systems and computer-vision-based solutions -- cost, setup time, architecture, and approach.
3 min readReadWarehouse safety AI is an approach that monitors forklift and pedestrian traffic, issues proximity alerts, and detects unauthorized access to restricted areas in real time. It's used in logistics warehouses with heavy machinery traffic to prevent collisions.
2 min readReadRetail loss prevention is a behavior analytics application that uses deep learning models to identify shoplifting patterns, suspicious browsing behavior, and organized retail crime.
3 min readReadInstead of watching dozens of cameras one by one across a multi-building corporate campus, AI-driven behavior analysis can automatically track every entry point for tailgating, unauthorized access attempts, and suspicious loitering.
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