Video Analytics for Safer Public Spaces

The problem

Turkish police forces faced difficulty identifying wanted persons and credible security threats across crowded public spaces, transport hubs, and city centers. In several incidents, suspects were identified only after an attack or major security event had occurred. This reactive approach increased public-safety risk and, during 2018–2019, was associated with an estimated US$1 billion tourism loss due to reduced visitor confidence.

The solution

Ayonix Public Surveillance provides real-time facial recognition and video analytics for authorized law-enforcement operations.

• Connects existing CCTV cameras to a secure facial-recognition platform.
• Detects faces in live and recorded video, then compares them against approved, legally managed watchlists.
• Sends immediate alerts to authorized operators when a high-confidence match is detected.
• Provides the person’s last known camera location, time, image evidence, and movement history across connected cameras.
• Enables officers to review alerts before action, reducing false-positive risk.
• Maintains encrypted, role-based, auditable records of watchlist searches, alerts, operator reviews, and actions.
• Supports privacy, retention, and oversight policies appropriate to local law and public-sector governance.

What we brought

• Crowd insight
• People counting
• Zone alerts
• Searchable event evidence

How we solved it

1. 1Observe
2. 2Detect
3. 3Verify
4. 4Notify
5. 5Investigate