AI Vision Crowd Monitoring System

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

Download the full version of case study to realize more detail information!

Download the file

Request Form

Fill out the following information and click Submit. The requested file will be emailed to you automatically. * Required information

*
*

Some fields on your form are invalid. Please check your information.

or

via Social Login

Login with your social account and the requested file will be emailed to you automatically.

*By signing in to this service you accept IEI’s Terms of Use and Privacy Policy and agree to be a member of IEI Memberzone.

Tags: