AI cameras can detect visible, rule-based safety risks in a warehouse or factory: people and forklifts coming too close, pedestrians in forklift-only aisles or restricted zones, trucks speeding through marked areas, missing PPE such as hi-vis vests or hard hats, phone use while driving, blocked exits, aisles and fire equipment, and housekeeping problems such as pallets left in walkways. The software runs on fixed or truck-mounted cameras and flags each event with a timestamp and image. It only sees what is in frame and adequately lit, so coverage depends on camera placement.
The full guide is AI forklift safety systems, which explains what vision analytics actually does. Ask each supplier which detections are trained and tested for your conditions, how false alerts are measured, and whether an event triggers a live warning or only a report. Collision risks need real-time alerts; housekeeping and PPE detections are usually reviewed after the fact.
Camera analytics at work raises privacy and employee relations questions, especially where faces are recorded; see Forklift AI camera privacy. The obligations stay with the employer: OSHA 1910.132 still requires a PPE hazard assessment, and a camera that spots a missing vest does not replace it.