Unique Person Counting in an Exhibition

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Customer

Event organizer in India who hosts International and National level Exhibitions throughout the year.

Project Details

  • Duration:

Technologies:

  • Deep Learning
  • Node JS
  • MongoDB
  • Radis
  • RabbitMQ
  • AWS
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Problem

  • There are no reliable ways to track unique visitor counts across multi-day events.
  • No live analytics for organizers especially in the peak hours.
  • Manual counting or ticket scanning methods can be slower and labour expensive.
  • Current methods lack comprehensive insights into visitor analytics & engagement.
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Solution

  • We developed a computer vision-based unique person counting solution that identifies & counts the unique people in real time at exhibitions or expos.
  • The solution detects unique individuals based on the facial recognition method.
  • The solution also detects their age, gender, and clothing color, with real-time counts.
  • It can also show visual insights including peak hours analytics.
  • Cloud access to view logs and reports.

99%

Accuracy

Occupancy management and beyond with a virtual replica

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