Over the past few years the world has become highly aware of the threats presented by terrorist activities. Perimeter and video security, biometrics and face recognition systems are at the forefront of the world's efforts to cope with the threats at hand. The need to accurately detect in real time suspects or suspicious behavior has become evident in locations such as airports and railway stations, government and public buildings as well as around high security facilities such as water and energy utilities.

FRS Suspect Detection is an advanced surveillance system that has video analytics capabilities. It can automatically detect faces On-line or Offline using fast acquisition methods. As face images are detected, FRS Suspect Detection automatically alerts for any identified suspects using variety of interfaces (SMS, Email and Web).

Suspect Detection

With its intelligent face recognition algorithms, FRS Suspect Detection analyses the input from numerous CCTV cameras, comparing the captured face templates extracted from the cameras with database containing previously stored profiles and face templates.

FRS Suspect Detection allows evaluating the correlation between suspect list to incoming targets. Suspect list search is 1: N, it means the suspect image will run through a matching procedure with the database records. The best matches that will be above of the requested similarity level will appear as suspects once initiated.

Working Scenario

* The cameras record and watch online on POIs (Points of Interest)
* The operator select image or video and run it through the system in order to enroll or match a suspect
* The system detects if the target are suspects according to existing watch list
* The watch list is located on a shared network database and can be shared between several operators / stations
* Every operator can work on different area / camera