AI forklift cameras detect pedestrians by running a trained computer vision model on each video frame, usually on a processor mounted on the truck. The model has learned the shape of a person from a large set of labeled images, so it can tell a human from a pallet, a rack upright or another truck. When a detected person falls inside a configured danger zone around the forklift, the system sounds an in-cab alarm, flashes a light or, on compatible forklifts, reduces speed. Because detection is visual, nobody has to wear a tag, so untagged visitors are detected too, as long as they are within the camera's view.
The full page is camera pedestrian detection for forklifts. Camera detection has clear limits: it sees only within its field of view, so a person behind racking or around a blind corner is not detected until they appear. Dust, steam, glare, darkness and a dirty lens all reduce performance. Ask how the model handles people who are partly hidden, crouching or carrying loads, and how the zone adjusts for travel direction and speed. Some sites pair cameras with wearable tags to cover what the camera cannot see; AI forklift safety explains the layered approach.