HKIE LT Division Activities 

Minimizing Lost from Car Accidents by Applying Big Data Analytics to Your Vehicle Network

By Ms Joyce Wong and Ir Carmen Chu

There are around 16,000 traffic accidents occurred in Hong Kong every year. Public bus, public light bus and taxi are the three most accident-prone vehicle types, while the top two driver contributory factors of traffic accidents are “driving inattentively” and “driving too close to the vehicle in front”, according to the statistics provided by the Hong Kong Police Force.

In this webinar Mr. Antonio Wong, CEO & Co-founder of Greensafety Technology Ltd, shared with us how the implementation of Artificial Intelligence (AI), Big Data Analytics and internet of vehicles (IoV) could bring real-time warning and precautions to the drivers to avoid accidents, and also identify potential road safety black spots for reporting to the government and other road users.

Mr. Wong shared with us his experience working with The Kowloon Motor Bus Co. (KMB) and other corporations to install on-board system and safety measures (e.g. Advanced Driver Assist System and Distraction Detection System) to provide real-time alerts for drivers at service. Advanced Driver Assist System can accurately calculate the speed of vehicles and the distance with the preceding objects on the road, under the principle of triangulation with depth sensing.  With the assistance of video analytics, combined with signals and monitored steering speed, the system can activate the alarms (or seat vibration) in the vehicle to alert the drivers if there is insufficient safety distance and record a 10-second video with spatial information for further investigation of the incidents and black spots reporting.

Distraction Detection System (or called Drowsiness Monitoring System) can be adopted to detect the level of alertness of a driver by using image-processing technology and AI- based facial pattern.

An online platform gathers the fleet performance data and provides a visual performance dashboard of identified potential road safety black spots to allow stakeholders to take preventive measures to take actions before accidents occur.

The webinar was organized on 29 January 2021 and attracted over 110 members. The audience found the webinar fruitful by learning how the latest technology could safeguard and enhance road safety.