AI pedestrian detection uses cameras and trained vision models to recognise people around a forklift and alert the operator, telling a person apart from pallets, racking and other trucks. Because it needs no wearable tag, it also covers visitors, contractors and temporary staff who never received one. Its limit is line of sight: a camera cannot see around a rack end or through a load, and performance depends on lighting, lens cleanliness and mounting angle. Many sites pair camera detection with tag-based sensing or fixed cameras at blind corners, and some systems can also slow compatible forklifts.
The full guide is camera pedestrian detection for forklifts. Check how the system handles partial views, such as a person crouching or half hidden behind a pallet, people in dark clothing under poor light, and reflections from stretch-wrapped loads.
Ask whether processing runs on the truck or depends on a network connection, what the detection zone covers in forward and reverse travel, and how false alerts are reduced without missing people. AI forklift safety systems explains what the technology does and does not do.