AI LabComputer VisionSecurity AnalyticsRisk TriageHuman Review
Computer Vision Security Analytics
Computer Vision Security Analytics is a safe demonstration of how security events can be triaged without using real CCTV footage. It works with demo event metadata to explain risk, priority and recommended response.
18
Threat categories
94%
Primary-category target accuracy
<2s
Triage target
0
Real footage used
⚠ Problem
Security teams cannot reliably watch every camera feed continuously. Manual monitoring can miss events due to fatigue, volume, and inconsistent escalation rules.
✓ Solution impact
The tool demonstrates how AI-assisted triage can prioritise important security and safety events, reduce missed signals, and create a more consistent review process for supervisors.
🔒
Safe demonstration. This project uses demo data and representative workflows only. It avoids exposing client, security, beneficiary, or operationally sensitive information.
Use cases
Physical Security
Perimeter monitoring
Surface suspicious movement and access violations for human verification.
Critical Infrastructure
Safety compliance
Flag PPE or restricted-zone exceptions without exposing real footage.
Facilities
Crowd and queue monitoring
Identify density changes and bottlenecks that may require operational intervention.
Architecture diagram
Demo event feed
→
Detection metadata
→
Risk scoring
→
Human review queue
→
Incident log / dashboard