Suspect Detection and Tracking System

EagleEye is an AI enabled, self-learning, computer vision system that analyzes the video and images from video surveillance cameras, CCTV, drones, IoT devices as well as robots, in order to recognize suspicious people, behavior, suspicious objects and suspicious activity in any place of the country. It is intelligent and can be trained to detect known criminals using face recognition, to be shared with relevant government authorities (police, military forces, etc.) to locate, review and act on their specific locations.

EagleEye analyzes video content in real-time, extracting metadata, filtering out noise such as lighting changes as well as sending out alerts and providing actionable intelligence to security personnel or other systems adding artificial intelligence to cameras.

EagleEye’s video analytics can be done in two ways.

  • On-device video analytics (embedded at the edge)
  • On-server video analytics (either on premise server or on cloud)

EagleEye as a smart city project

  • Identifying most important places/areas in the country and implement the system (E.g. Harbors, Airports, Parliament, Hotels, etc.).
  • Introduce EagleEye to the main cities of the country via surveillance CCTV cameras (existing infrastructure can be utilized).
  • Introduce EagleEye Mobile App to Government Police vehicles to receive real time suspect notifications.

EagleEye as a security product for banks

  • Real time detection of suspicious behavior (wearing helmets, caps, and face masks, etc.) at the ATM and notify the bank administration.

Use Cases


Known criminal detection in the city


Smart city project (Harbors, Airports, Parliament, Hotels,) – identify suspicious people and suspicious activities


Real time detection of suspicious behavior (wearing helmets, caps, and face masks, etc.) at the bank ATM