Whitepaper
Warehouse Near-Miss Benchmark Template
- Author
- DHI Safety OperationsEdge AI ArchitectureReviewed by DHI Engineering
- Published
- 2026-07-02
- Read time
- 7 min read
- Updated
- 2026-07-02
Who this is for
For warehouse safety teams building a repeatable near-miss review process.
The buyer question
How should near-miss data be collected during a warehouse pilot?
Capture fields
Record camera, zone, shift, event type, vehicle path, pedestrian path, clip reference, review outcome, and recommended action.
Review cadence
Review weekly at minimum during the pilot so tuning and retraining decisions happen while the deployment is active.
Benchmark carefully
Use the first pilot as a baseline. Avoid publishing broad reduction claims until enough deployments and consistent definitions support them.
How to use this with DHI
Use this page as a pre-pilot checklist. Pick one zone, one event type, one alert owner, and one review cadence. If the current cameras cannot support the workflow, fix the camera plan before expanding the deployment.
Validate "warehouse near-miss benchmark template" on your live feeds.
Coordinate a 30-day architecture review and live camera validation based on the protocol described in "warehouse near-miss benchmark template" for your facility.
Best follow-up: bring the current workflow that "Warehouse Near-Miss Benchmark Template" is supposed to improve.
- Book a demoSee the flow on a real operating scenario and scope a pilot around one facility or corridor.
- See deployment architectureReview camera ingest, edge inference, alert routing, and what stays on-premises.
- Get the implementation checklistDownload the deployment checklist buyers use before green-lighting an industrial AI pilot.
- Talk to an engineerBring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.