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Queue Detection

Queue Detection and Quantitative Analysis System

The software for queue monitoring based on deep convolutional networks allows for estimating the queue size in the monitoring area and speed of people’s movement in it.

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Queue Detection and Quantitative Analysis System

The software for queue monitoring based on deep convolutional networks allows for estimating the queue size in the monitoring area and speed of people’s movement in it.

The software performs real-time analysis of the video received from an IP-camera or from an archive file, detects people in it and traces their movement. Throughout the presence in a frame, each individual person has their unique tag and movement history, which allows for their unambiguous identification and tracing.

SW Functional Capabilities:

  • Detection and quantitative analysis of queues in the monitoring area
  • Assessment of speed and pattern of people’s movement
  • Setting the permissible queue length and the minimum time of person’s presence in the queue
  • Tracing of people’s movements in the queue
  • Notification in case of exceeded threshold of people in the queue
  • Recording of information about each object in the queue into a database

Main Advantages of Use:

  • Increased speed and quality of client servicing
  • Assessment of personnel work efficiency
  • Optimization of employee work schedules with account of peak load
  • Correction of space organization based on queue formation data
  • Increased throughput capacity of inspection points

Application:

  • Shopping malls
  • Shops
  • Banks
  • Airports and train stations
  • Sports and cultural sites
  • Hotels etc.

For any inquiries or questions contact:

Anna Orgolainen 
orgolainen@mallenom.ru