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AI Video Analytics App

EdgeDX,Loitering Detection

Loitering Detection

Detect people, cars, bikes loitering in certain areas. It can enhance security by detecting behaves suspiciously.

  • Detects when an object enters the monitoring area and lingers for a certain period, then sends an alarm.
  • This app is designed for security surveillance, eliminating the need for 24-hour recording or constant real-time monitoring by an administrator. Instead, it sends immediate alerts in response to specific events, ensuring effective protection of key assets in buildings, perimeters, and restricted areas, and enabling prompt responses to incidents.
  • Detection targets can be configured for specific objects such as person, car, and bike. The app is designed to minimize false alarms by considering factors such as reflections from stationary objects, vibrations, and the influence of nearby objects. Additionally, even unclear forms of the designated objects are detected as much as possible, and a filtering process is applied to trigger only genuine events, minimizing false alarms even in complex environments.
Camera Installations Requirments & Minimum Object
  • Basic Information
    null
    • Camera Installation Enviroment
      Indoor(O)
      Outdoor(O)
    • Support Camera Type
      IP camera(O)
      Fisheye camera(Functionality limited), Thermal camera(X)
    • Input Resolution
      Min 640 x 360 ~ Max. 4K
    • Input Fram Rate
      Min 3fps
  • Detectable Object Size
    null
    • Min size: 1280 x 720 resolution or higher
      ① Day
      [Person] W 1.5%, H 4%
      [Car] W 1.5%, H 2.5%
      [Bike] W 2%, H 4%
      ② Night
      [Person] W 2%, H 6%
      [Car] W 2.5%, H 4.5%
      [Bike] W 3%, H 5%
    • Min size: 640 x 360 to 1280 x 720 or lower
      ① Day
      [Person] W 2.5%, H 6.5%
      [Car] W 2.5%, H 3.5%
      [Bike] W 2%, H 4%
      ② Night
      [Person] W 2.5%, H 6.5%
      [Car] W 3.5%, H 5.5%
      [Bike] W 3%, H 5%
    • Fisheye Video
      [Person] W 4%, H 5%
Demo Video
 
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