See it work
From scattered alerts to one decision
Most systems bury you in alerts. QORA's AI Incident Commander correlates related detections across your cameras into one risk-scored case with an evidence-cited brief — and asks a human to confirm before anything happens. Watch a real-shaped example play out.
Incident timeline
- Fence climb
Rear gate - Person in yard
Yard - Loitering
Loading dock - Cross-camera track match
Rear gate
Monitoring — no active incidents.
4 detections grouped into Case Q-1047
Perimeter breach → yard intrusion, rear gate
- Perimeter breach+35
- Restricted-area entry+25
- Cross-camera continuation+15
- After-hours loitering+10
- Total risk score85
Illustrative scoring breakdown for this simulated scenario. Production rules are configured to each deployment.
Evidence-cited brief
- Fence climb detected at the rear gate.
- Same subject entered the yard within 90 seconds.
- Subject loitered at the loading dock; no scheduled activity was expected.
- The same cross-camera track was observed again near the inside rear gate.
- AI review did not confirm a second person; treat this as a single subject.
Every claim links to the exact frame it's based on — QORA drops any claim it can't cite. “Match” means the same track seen across cameras, not facial recognition.
Human confirmation required
QORA recommends. A person decides. Nothing acts on its own.
Paused for operator — QORA recommends, a person decides.
Case confirmed (simulated)
- Case acknowledged
- Operator assigned
- Dispatch recommended to the rear gate
- Audit entry recorded
- Response timer started — 00:00
Why dismiss? (simulated)
Both confirmed and dismissed verdicts are recorded and, over time, help tune this site's precision — so QORA learns what is and isn't worth your attention here.
Run this scenario on your cameras.
Illustrative walkthrough of the AI Incident Commander using simulated footage. Real cases, cameras and data appear in your console.