CASE STUDY

Automated Video Surveillance system for a major Airport using deep learning technique

  • Problem

    The field of transportation relies on video surveillance to monitor, respond efficiently, and effectively to security incidents throughout its airport terminals, bus stops, and parking areas. One of our clients wants to

    • understand the traffic flow on the departure ramp,
    • build Automatic Number Plate Recognition system,
    • get vehicle count at a given point of time, and
    • create an alert mechanism for decision-makers to take decisions instantly   
  • Solution Given

    Intelytica with its expertise developed a video analytics solution addressing the problems, ensuring the automatic and dynamic generation of reports instantly, paving the way for support in decision making on data gathering and its availability in the system. Our solution provides:

    • Vehicle Counter / Congestion Management
    • Parking Analysis  with Automatic Number Plate Recognition
    • People Counter / Congestion & Loitering Detection
  • Solution Impact

    • Our solution is seamlessly integrated into the airports VMS, and is accessible at the click of a tab.
    • An hour of video is viewed in a minute, freeing airport staff to focus on other important tasks.
    • The ability to leverage huge amounts of already-available video data goes beyond the value for a security, allowing our client to easily control and optimize operations where needed. Our client uses the solution to monitor and quantify the return of rental cars, ensuring they have accurate records and receive the correct fees from each car rental vendor.

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