Face Recognition for CCTV Forensics and Police Investigation
Upload a suspect image. Search against millions of identities. Get ranked matches in seconds. Multi-camera tracking, real-time watchlist alerts, and mobile field identification - all powered by NIST-benchmarked AI with 99.7% accuracy.
Capabilities
Image-to-Database Search
Upload a probe image from CCTV, a phone, or a document. Search against millions of enrolled identities. Ranked results with confidence scores in seconds.
Multi-Camera Tracking
Track individuals across camera networks. Build movement timelines. Identify entry/exit points and associate appearances across locations.
Real-Time Watchlist Alerts
Live CCTV feeds monitored against watchlists. Instant push notifications when a person of interest is detected. Works on existing camera infrastructure.
Mobile Field Identification
Officers carry standard Android phones with offline 1:N search. Photograph → match → identify in under 1 second. No internet required.
How Crime Investigation Works with FaceTagr
Capture
Extract a face from CCTV footage, a witness photo, or any image source. FaceTagr handles low-quality, angled, and partially occluded faces.
Search
The probe face is searched against the enrolled database - criminals, missing persons, or watchlists. 1:N matching across millions of identities in sub-second time.
Review
Ranked candidate matches are presented with confidence scores. Trained officers review and make identification decisions - the system provides leads, not verdicts.
Track
Once identified, track the individual across multi-camera networks. Build a movement timeline to reconstruct events and establish patterns.
Frequently Asked Questions
How is face recognition used in police investigations?
Police use face recognition to match suspect images from CCTV footage against criminal databases. An investigator uploads a still frame or probe image, and the system searches millions of enrolled identities to return ranked matches with confidence scores. This dramatically reduces investigation time from weeks to seconds.
Can face recognition work with low-quality CCTV footage?
Yes. FaceTagr's NIST-benchmarked engine is trained on challenging conditions - low light, partial occlusion, motion blur, and oblique angles. While higher-quality footage yields better results, FaceTagr can extract and match faces from standard CCTV quality that other systems would reject.
What is multi-camera face tracking?
Multi-camera tracking links a person's appearances across different cameras in a network. FaceTagr identifies the same individual across entry points, corridors, and exits - building a timeline of movements. This is critical for reconstructing events in investigations.
Is police face recognition accurate enough for court evidence?
FaceTagr's 99.7% NIST FRTE accuracy provides investigative leads, not automatic convictions. The system returns candidate matches with confidence scores for trained officers to review. NIST validation provides the evidentiary foundation that the technology meets international accuracy standards.
Can officers use face recognition in the field?
Yes. FaceTagr's Mobile SDK enables field officers to run 1:N face searches on standard Android phones - even without internet. An officer photographs a person of interest and instantly searches against the local watchlist database. Results appear in under 1 second.
Request a Law Enforcement Briefing
Classified deployment options available. Contact our defense & security team.
Request Briefing