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Crowd People Counter

SKU
CPC_1-19
As low as $0.00
Out Of Stock
  • Wide Coverage Area Helps to Save on Equipment and Installation Costs
  • Detects People Facing Any Direction for Greater Accuracy
  • Windows Standalone Application
  • Compatible with Windows Operating System, Canon Network Cameras and Axis Network Cameras
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Overview

Canon’s Crowd People Counter is a video content analysis software that quickly and accurately counts hundreds or thousands of people on-screen at any given time. This software works with Canon or Axis security cameras capturing occupancy counts for use cases such as events, stadiums, airports, train stations, city planning, houses of worship, and other large gatherings.

Features

Count Crowds with High Accuracy

  • Crowd People Counter’s video content analysis technology utilizes deep learning technology for highly accurate human detection. This includes dense crowds, people who are overlapping, and people who are very small due to distance.
  • Detects people facing any direction for great accuracy using standard surveillance camera angle of view.
  • Select up to four detection areas to gather counts in different areas of the video stream.

Counting People at a Fair

Use Scenario Examples

  • Sporting Events
  • House of Worship
  • Concerts
  • Stadiums
  • Transportation Hubs
  • City Planning

Stadium Crowd Counting

Windows Application Features

  • Supports Canon and Axis security cameras
  • Graphing tool to display occupancy over time
  • Export JPEG and CSV spreadsheet data
Crowd People Counter Chart

Videos

Crowd People Counter Main Movie

Crowd People Counter Operation Explanation

Technical Specifications

Operating Environment

Functions

Specifications

Difficult Scenes and Subjects

Brochures

File Name

Software License Registration Guide

Date

06.08.23

File Size

3.1 MB

File Name

Optimizing Performance Guide

Date

06.08.23

File Size

1.3 MB

File Name

User Manual - Crowd People Counter Version 1.1

Date

06.08.23

File Size

1.6 MB

Product Disclaimer

  1. Count result varies depending on the installation environment and how people are captured
  2. Depending on the width of person and congestion in the video, count may not be successful.