| I&T Solution |
A Computer Vision Solution for People Counting in crowded Entrance and Exit
(REF: S-1035) |
| Trial Project |
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| 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.
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| 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.
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| Additional Solution Information |
爱莫科技-机电署项目投标.pdf
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| 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 |
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