| I&T Solution |
[SOCIF] Overhead Video Analytics for People Counting at Entrance and Exit
(REF: S-1028) |
| Trial Project |
|
| Solution Feature |
- Utilization of high definition camera to process the AI models for overhead people counting
- The system is able to process bi-directional people counting, supporting outdoor and indoor environment
- The system is flexible to be deployed in any Cloud platform, e.g., Alibaba Cloud, AWS, Azure, etc. or on-premises environment
- The system is able to detect people inflow/outflow in real time, and transmit the data to the public cloud using the edge computing devices
|
| Trial Application and Expected Outcome |
- Using HD camera/existing cameras to capture the people flow or crowd using AI models, to conduct trials on using minimal cameras to maximize the required project impact.
- To conduct trials on using multiple AI models simultaneously to record and analyze the size of the crowd, density, flow and time, and transmit the data to public cloud
- To conduct trials on our self-developed GPU/NPU compression technology to enhance the system application efficiency of the edge computing technology, so as to improve the project budget control.
|
| Info on I&T Solution Provider |
| Solution Provider | : | SOCIF LIMITED | | Address | : | Unit 939, Building 19W, No. 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, N.T., Hong Kong | | Contact Person | : | YUEN LOK HAANG |
| Position | : | CEO | | Tel | : | 96649906 | | Email | : |
jason.yuen@socif.co | | Webpage | : | https://socif.co/ |
|
