Case Studies

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VNA Tool Features

 

 

VMS

  • Store and Replay Recorded Video 
  • Configurable Recording & Storage Duration.

 

Surveillance

  • Object Detection and Counting
  • Tamper Detection with Real-time Warning
  • Mask Detection with Real-time Warning
  • Intrusion Detection with Real-time Warning
  • Face Detection
  • Crowd Detection

 

VNA

Dashboard with graphical presentation of Surveillance Data

  1. System records all live video for future use/analysis.
  2. Tool stores the recorded video for a defined period.
  • Defined Object Counting
  • ML model trains the system for object detection
  • Real-time Counting
  • Accuracy level  based on training data in the system
  • Dynamic configuration for defining crowd
  • Records crowd detection and generates warning in real-time
  • Trip-wiring of Camera
  • Blocking of Camera by paper, cloth or other object
  • Moving Camera focus away from defined position
  • Wall/Boundary Breach  - Broken
  • Wall/Boundary Breach - Person Jumping Over
  • Wall/Boundary Breach - Person walking on wall/Boundary
  • Virtual Line Breach – Person crossing a virtual line drawn on camera
  • Detecting predefined face
  • Capturing face in real-time and identify the person in future (training needed through built-in ML module)
  • Detecting face without mask
  • Generating real-time warning when face without mask is detected
  1. Person Coming-in count
  2. Person Going-out count
  3. Crowd Detection Count
  4. Camera Trapping Count
  5. Intrusion Count

 

 

 

OTHER CASE STUDIES

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Video Analytics

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A cognitive solution in Intrusion Management, Incident Detection, Crowd Counting, led by significant adoption of cloud services, edge-based analyt ...

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