Problem
Forklift–pedestrian interactions are among the highest warehouse risks, yet near misses are rarely documented.
Business impact
Culture stays reactive. Training lacks concrete examples. Serious incidents look like surprises.
Current approaches
- Safety walks
- After-incident CCTV pulls
- Floor markings alone
Why existing methods fail
- Near misses invisible
- Inconsistent coaching
- No trend data by zone or shift
How AI solves it
- Flag interaction and zone-breach candidates
- Preserve evidence clips for coaching
- Trend risk by area and time of day
With AnomaAI, detections become business events with evidence—so teams review what matters and leaders see outcomes, not camera walls.
Business outcomes
- Earlier coaching
- Better zone discipline
- Audit-ready safety evidence
Frequently Asked Questions
Does AI stop forklifts?
Vision monitoring informs people and processes; vehicle control systems are a separate safety layer.
Related use cases
Next step
Ready to see this on your cameras? Book a demo or explore Warehouse AI.
