Definition
Near-miss detection
Detection and indexing of close calls before they become reportable incidents.
What it means
Near-miss detection identifies events where people, vehicles, or hazards came close enough to reveal a repeat safety pattern. In warehouses, that often means forklift conflict, blocked walkways, sudden stops, or unsafe crossings.
Why it matters
Close calls often disappear after the shift. Turning them into clips and records gives safety teams a way to fix repeat zones before an injury happens.
Evaluation questions
How is a near miss defined for the pilot?
Can events be grouped by zone, shift, and camera?
Can supervisors review clips without searching raw footage manually?
Continue Exploring
Warehouse near-miss detection guide
Plan a near-miss detection pilot around existing CCTV.
Warehouse safety AI
See how near misses fit into a warehouse safety program.
Platform architecture
Review how DHI runs inference, event routing, and camera ingest.
Edge AI safety evaluation guide
Use a structured checklist to evaluate platform fit before a pilot.
Pricing and pilot scope
Understand what changes the final pilot and rollout scope.
Validate near-miss detection in a real pilot.
Use your current cameras, VMS, and response workflow to test whether the concept works in one defined zone.
The checklist is built for operators evaluating a live pilot in the next 30 days.
Request a demo
See the flow on a real operating scenario and scope a pilot around one facility or corridor.
See deployment architecture
Review camera ingest, edge inference, alert routing, and what stays on-premises.
Get the implementation checklist
Download the deployment checklist buyers use before green-lighting an industrial AI pilot.
Talk to an engineer
Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.