A tagless pedestrian detection system for forklifts detects people with sensors on the truck or at fixed points, without anyone wearing a tag. Most use cameras with AI models trained to recognize people; some use radar or LiDAR with object classification. Because no wearable is needed, the system also responds to visitors, contractors, delivery drivers and staff who forgot a tag. The limit is line of sight: the sensor must see the person, so racking, loads, poor light, steam or dust can hide them. Tag-based systems work around corners, so many sites combine the two approaches.
The full guide is Camera pedestrian detection for forklifts, covering how vision systems classify people and what to verify in a pilot. Check detection range against your trucks’ stopping distance, performance in your darkest and dustiest areas, how the system treats people who are crouching or partly hidden, and the false-alert rate in busy aisles.
On compatible forklifts, a detection can trigger automatic slowdown as well as a warning. Camera systems record images, so set rules for retention and access before rollout; see Forklift AI camera privacy.