| Trial Project |
iCremation
(REF: P-0142) |
| Matched I&T Wish |
Development of AI-based Image Analytic System for Cremation System
(REF: W-0219) |
| Matched I&T Solution |
Cremator Control & Monitor System
(REF: S-0243) |
| Solution Feature |
- Description: Detecting different interested residual human limbs by an accurate and real-time object detection model, and according to the detected results to control the cremation process automatically.
- Innovation: Fusion Object Detection technology and Reinforcement Learning technology to control the cremation process automatically, under the most energy-efficient condition.
- Technology elements: Object Detection, Reinforcement Learning.
- Technical specification: Core Algorithm: FPN +Faster-RCNN + Reinforcement Learning, Camera: 4K Resolution, Server Graphics Card: RTX 2080Ti.
- Efficiency: The speed of process could reach up to real-time, but depending on the computation speed of the server. If the graphics card of the server is the RTX 2080ti, the frames per second(fps) can be above 10 fps.
|
| Trial Information |
| Trial Site |
: |
Wo Hop Shek Crematorium |
| Trial Duration |
: |
Feb 2020 to Feb 2021 |
|
| Info on I&T Solution Provider |
| Solution Provider | : | Application Technology Company Limited | | Address | : | Unit 313, 16W, Science Park West Avenue, Hong Kong Science Park, Sha Tin, N.T., HK | | Contact Person | : | Emily Cheung |
| Position | : | Project Manager | | Tel | : | 3489 7999 | | Email | : |
emily.cheung@apptech.com.hk | | Webpage | : | www.apptech.com.hk |
|
