What is computer vision?
Computer vision is a subfield of artificial intelligence that analyzes images from cameras to identify the objects, people, and events within them. In short: it gives a camera the ability to "understand", not just "see".
A security camera records footage but has no idea what's in it. Computer vision models process every frame to detect people, objects, and the relationship between them -- for example, whether a person is wearing required protective equipment.
How it works for workplace safety
Colt AI applies this in four steps: first, it connects to your existing IP cameras or CCTV systems. Deep learning models then process every frame in real time, detecting people, objects, and safety equipment.
In the third step, PPE violations, restricted-zone breaches, and safety hazards are identified instantly with 99% detection accuracy. Finally, real-time alerts go out to supervisors along with compliance reports and analytics.
How it differs from a traditional camera system
Most cameras are blind -- they record but never understand. A traditional CCTV system only becomes meaningful when someone is watching the feed live, or reviewing it after an incident has already happened.
Computer-vision-based systems analyze footage instantly and raise an alert as the event unfolds -- a proactive approach rather than a reactive one.
How Colt AI implements this
Colt AI connects to your existing cameras without additional hardware; all processing happens in software. Real-time detection, PPE compliance, instant alerts, and an analytics dashboard are modules running on the same camera feed.
At one manufacturing facility, this approach delivered an 83% reduction in workplace incidents within the first six months, with real-time alerts enabling immediate corrective action.