1. High Level Architecture




  1. Face Recognition Sensor


  • The Face Recognition system can work with any camera which support RTSP streaming

  • Camera need to be installed correctly for optimal face recognition position.

  • Factors to be considered:
    • Height of installation
    • Angles of person movement
    • Light Conditions



























  1. Face Recognition System Flow
  1. Face Camera sent RTSP stream to Face server (AnyVision) in the Data Center

  2. Face Software engine process the stream and extract the face from the image and send the data (image, face vector, confident level…) to C-Insight system.


  1. C-Insight application server process the data and store in C-Insight data base.

  2. From client side the operator can perform:
    1. Querying of suspects in the face detections database

    2. Management of suspect face albums, including pictures, appearance characteristics, personal details and all previous suspect appearances (related locations, events and detections) 


    1. Real-time alerts: when a detected face is successfully matched against a registered suspect in one of the systems watchlists, the system will displays an event to the operator. The event includes the detected image, as well as relevant data regarding the matched suspect from the face database.









  1. C-Insight Configuration
    1. CIT Configuration


Following BU are responsible for the Face Recognition Functionality and integration with the Face Recognition server (AnyVision)

  • Face Engine – Communicate with Face Server , responsible to configure in AnyVision 




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