Methodology — Computer Vision Security Analytics
The methodology focuses on safe detection-to-decision flow rather than exposing sensitive security footage.
1. Input design
Create demo event metadata representing camera observations without storing or displaying real CCTV footage.
2. Signal interpretation
Classify event type, location, risk score, and recommended action for each demo event.
3. Human review
Route priority events to a review queue where a supervisor validates context before escalation.
4. Operational reporting
Capture incident category, response recommendation, and review status for trend analysis.
Evaluation approach
- Measure precision/recall on labelled footage only in secure production environments.
- Track escalation time and false-positive burden.
- Monitor whether recommended actions are followed and effective.
- Review privacy and legal requirements before any real deployment.
Responsible AI note: The sandbox demonstrates assistive decision support. In production, human review, audit logging, access control, model monitoring, and documented exception handling would be required.