AI Use Cases
Explore the specific physical safety incidents our edge-native models detect, escalate, and log across your camera estate.
Target Incident Logic
Each use case represents a specific, measurable safety milestone.
Dhi isn't just 'looking' at video—it's executing targeted detection logic designed to trigger specific facility protocols.
Model speed
Alerts are generated at the edge, ensuring safety protocols happen faster than human reaction time.
Camera fit
No proprietary hardware required. We run on the IP cameras already installed in your facility.
Privacy
Detection models only extract bounding boxes and skeletal metadata; original video stays on-site.
Integration
Incidents map directly into Genetec or Milestone alarm categories for immediate operator action.
Training
Models are pre-trained on millions of synthetic edge scenarios to handle rare 'black swan' safety events.
Ready to validate a specific model?
Choose one use case and one high-risk facility zone for a 30-day architecture review and pilot deployment.
A strong pilot starts with camera angle, escalation owner, and a clear false-positive threshold.
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.