| I&T Solution |
AI Escalator Monitoring System
(REF : S-0174)
|
| Trial Project |
|
| Solution Feature |
- Collect, study and analyze the videos/images of past escalator data.
- Analyze the correlations of various human factors and develop AI-based system that predicts the probability of re-occurrence of similar matter.
- The detection scope may include passengers with special needs (e.g. unaccompanied minors, senior citizens, reduced mobility, visual impairment, baby strollers, pets, etc.)
- The system should have mechanism to protect the privacy of passengers.
- The system should have mechanism to trigger notifications to staff and/or public announcement system to draw their attention.
|
| Trial Application and Expected Outcome |
- The project consists of multiple phases which includes data collection, AI model training, preparation of implementation strategy and pilot run.
- Apart from the data generated by normal passenger, we will send testers to perform specific actions to enrich the data.
- The implementation phase includes pilot run of the system.
- We will fine-tune the AI model during the pilot run to optimize the detection thresholds which further improve the accuracy of the system.
|
| Info on I&T Solution Provider |
| Solution Provider | : | Sebit Company Limted |
| Address | : | Unit 503, 5/F, Enterprise Place No. 5 Science Park West Avenue Hong Kong Science Park, Shatin, N.T. |
| Contact Person | : | KWOK CHUN HO, SCOTTY |
|
Position | : | Director
|
|
Tel | : |
39052033
|
|
Email | : |
scottykwok@sebit.world
|
|
Webpage | : |
http://sebit.world
|
|
