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. Step through a real-shaped example.
Over four minutes, three cameras at one site fire — on their own, each is just noise.
Rear gate
Fence climb10:41
Yard cam
Person10:42
Dock cam
Loitering10:44
Rear gate
Person10:45
85risk
Critical
Perimeter breach → yard intrusion, rear gate
4 incidents · 3 cameras · deterministic risk score
Evidence-cited brief
Fence-climb detected at the rear gate, then a person tracked into the yard within 90 seconds.rear-gate · 10:41yard · 10:42
Same subject loitered at the loading dock — no scheduled activity at this hour.dock · 10:44
AI Review could not confirm a second person in the dock frame — treat as single subject.dock · 10:44
Every claim links to the exact frame it's based on. QORA drops any claim it can't cite.
QORA recommends — a person decides. Nothing acts on its own.
Recommended next steps: Acknowledge and assign an operator; dispatch to the rear gate; verify the cited frames within SLA.
Your verdict trains QORA — confirmed and dismissed cases both feed the model, so it gets more precise on your site over time.
Illustrative walkthrough of the AI Incident Commander. Real cases, cameras and data appear in your console.