Traditional CCTV records video for people to watch live or review after an incident, while AI safety monitoring runs detection models on the video to recognize hazards as they happen and send an alert or trigger a warning. CCTV depends on someone watching the right screen at the right moment, which rarely happens in a large building. AI monitoring flags events such as a pedestrian in a forklift aisle or a person without required PPE, and logs them as data that can be counted by location and shift. Many AI systems run on existing cameras, though a fixed camera only sees what it points at.
The full guide is AI forklift safety systems. There are two broad setups. Analytics on existing CCTV suits trend reporting: which aisle, which shift, which behavior. Edge devices that process video on site, close to the camera, suit live intervention such as switching a warning light at an intersection, because they do not depend on a round trip to a cloud server. Check how each option handles privacy, retention and worker notice, covered in AI camera privacy. Neither setup protects a pedestrian outside the camera’s field of view, and recorded video on its own prevents nothing.