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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 a variety of interfaces (SMS, Email and Web).
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 a 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, which means the suspect image will run through a matching procedure with the database records. The best matches that are above the requested similarity level will appear as suspects once initiated.
IOD = Inner Ocular Distance
Video Analytics Unit is a 4 to 6 cameras connected together into a processing center. The cameras can be analog or digital Each VAU reports individually to the command & control center using TCP/IP network. Each VAU will have a face recognition module that has its watch list source which is based on a network database. Each VAU shall act as an individual unit and will raise only detection events. All events shall be stored on the command and control station. Each VAU has the ability to be remotely monitored.
There is no special limitation on camera type, we recommend using only high-resolution cameras (Mega Pixel Cameras) for suspect detection solution.
Supported cameras / IP Servers:
The minimal requirements are defined according to the number of concurrent cameras and camera models which are connected to the station. Normally we do not recommend more then 8 cameras per station in order to prevent overloading.
The definition of maximum number of cameras is according to camera manufacturer. There is no real limitation on number of cameras connected into one FRS system as long they are not overloading the hosting CPU.
FRS minimal requirements for the analytics station are:
