A Computer Vision Solution for People Counting in crowded Entrance and Exit

I&T Solution A Computer Vision Solution for People Counting in crowded Entrance and Exit
(REF : S-1035)
Trial Project
Solution Feature
  • An architecture consists of basic network + cloud + edge + terminal camera. The AI components includes people
  • Highly accurate.The people counting system is effective and efficient in very crowded application scenario, to handle various types of dresses, heights, body shapes, etc.
  • Extendable AI capabilities that support the excluding workers and volunteers and automatic warning when number of people crossing a predefined threshold.
  • The accuracy of people counting in crowded scenario is higher than 95% and in normal scenario is higher than 98%; A single device with edge AI supports not less than 10 video cameras.
  • It provides standard-compliant edge devices and back-end systems that is able to connect to public cloud network. The system is robust in different weather and environment conditions.
Trial Application and Expected Outcome
  • Study the practical application scenario,analyze the specific requirements and record sample videos.
  • Research and development of the computer vision algorithms and software system.
  • Deploy the hardware and software system for trial and validate the system accuracy.
  • To polish the people counting system to reach a accuracy of 95% in crowded scenario.
  • The back-end system is able to visualize the data in real time, supports the storage and management of all structure data.
Additional Solution Information 爱莫科技-机电署项目投标.pdf
Info on I&T Solution Provider
Solution Provider:Shenzhen AiMall Technology Co., Ltd
Address:Unit 04, 23 / F, building 2a, phase I, international innovation Valley, Xili street, Nanshan District, Shenzhen
Contact Person:Juan Li
Position:Senior Marketing Manager
Tel: 13554961231
Email: juan.li@mall-ai.com
Webpage: www.aimall-tech.com

For details of the above I&T solution, please contact the I&T solution provider.