An AI risk monitoring system for warehouses analyses video from fixed cameras, often existing CCTV, to detect unsafe acts and conditions as they happen: people in forklift aisles, close calls between trucks and pedestrians, missing PPE, blocked exits or walkways, and phone use. Each detection is logged with time, location and a severity level, and can alert a supervisor by app, email or text message. The value is in the pattern, since repeated events at the same place or shift show where to change layout, rules or coaching. It observes and reports; it does not stop a forklift on its own.
The full guide is Real-time safety monitoring: what it tracks and why it matters. Monitoring is only as good as camera coverage, so map blind areas before relying on it, and expect detection accuracy to vary with light, distance and obstruction.
Check how events are reviewed and closed, whether severity levels can be tuned to cut nuisance alerts, how faces and identities are protected, and whether the system can trigger lights or truck-side systems for hazards that need an immediate response. PPE detection systems and Forklift AI camera privacy cover two common follow-up questions.