|I&T Wish||Video analytic technology for prevention of Signals Passed at Danger (SPAD)
(REF : W-0292)
|Summary and Challenges||
The train for the Automated People Mover (APM) in Hong Kong International Airport, it is taking passengers amongst Terminal 1, Midfield Concourse and Sky Pier, will normally be operated in an Automatic mode (i.e. driverless). But, for the train under maintenance at night, a train operator will drive the APM in a Manual mode.
In order to prevent incidents made by the train operator during the manual drive, this project aims to develop an AI system with video analyzing for prevention of incidents arising from Signals Passed at Danger (SPAD) and other human factors by the driver. In this trial, we will setup four sets of device in APM trains under this project.
The device shall be portable and comprise of key components including the number of cameras, buzzer, siren, SMS module, internal battery & data storage for video recording (for incident investigation) both lasting for 6 hours, and the device will be easily installed or removed day by day in the train cabin with the key features to detect dangerous behaviors and abnormal obstacles in the railway.
|Expected Trial Duration||4 months|
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