AI Vision Crowd Monitoring System

Oct 25, 2021

AI Vision Crowd Monitoring System Case Study

Monitoring crowds is vital for maintaining a close check on current conditions and avoiding the problems posed by large groups of people

What’s the challenge?

  • Limited space
  • Expandable capability
  • Reliability
  • Complaint with AI inference service
IEI provide the AI Vision Crowd Monitoring System that integrated with IEI’s TANK and AI accelerator VPU card to detect the following situations and issue alerts in real-time.
  • Crowd counting to estimate crowd size, count people in a specific region, and the whole video stream
  • Crowd flow to determine the direction of the crowd, and monitor queues, throughput, and waiting times
  • Activity detection to detect hawking, smoking, or other unauthorized activities
  • Anomaly detection to detect abnormal motion like a vehicle going through a pedestrian area

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