We integrated our AI-driven face recognition technology to the city's video surveillance system, covering streets, subways, and pedestrian underpasses.

~100 potential offenders

identified by the system daily

60,000 offender images

added to the database

300 cameras

connected across the city.

7 arrests

made on the first day of operation

Latin America

Rapidly identify wanted individuals in high­traffic public spaces

Utilize the existing camera network, agnostic of the hardware brand

Provide clear alerts and reporting to on­duty services

Reduce response time and increase crime clearance rates

We integrated FindFace with the city's camera network that covers streets, subways, and pedestrian underpasses. We uploaded the wanted persons database, configured alerting rules, and set up operator workstations.

City cameras transmit the video stream to the platform.

1.

On-duty services receive the signal and dispatch a unit to apprehend.

Reports show where and when matches were detected.

The AI finds a face, extracts features, and compares them to the wanted persons database. A match triggers an alert with the address, timestamp, and frame snippet.

We can deploy a pilot program using your existing infrastructure and demonstrate initial results within weeks.