A recent court case of China ruled that a college student was 70% liable for their injuries sustained in a traffic accident while riding a shared electric bike that was not equipped with a safety helmet. While helmets can reduce the risk of head injuries, not all regions mandate their use on shared electric bikes, and some users still avoid wearing them.
How to avoid riding without a helmet is an urgent problem for the industry, and in this case, technical regulation has become a necessary means.
IoT and AI developments provide new tools to address helmet regulatory challenges. Through the application of the TBIT smart helmet solution, the user’s helmet wearing behavior can be supervised in real time, and the real can not ride without a helmet, improve the helmet wearing rate, and reduce the risk of head injury in traffic accidents, which can be realized through two schemes: camera and sensor.
The former uses face recognition technology and image analysis algorithms to monitor whether users are wearing helmets in real time by installing AI cameras on shared electric bikes. Once the absence of a helmet is detected, the vehicle will not be able to start. If the user takes off the helmet during driving, the system will remind the user to wear the helmet through real-time voice, and then take power-off operations, strengthen the user’s awareness of wearing the helmet through “soft reminder” and “hard requirements”, and improve driving safety.
In addition to the camera, infrared sensors and accelerometers can also detect the position and movement of the helmet and determine whether the helmet is being worn. Infrared sensors can detect if the helmet is close to the head, while accelerometers can detect the movement of the helmet. When the helmet is worn correctly, the infrared sensor detects that the helmet is close to the head, and the accelerometer detects that the helmet’s motion is stable and transmits this data to the processor for analysis. If the helmet is worn correctly, the processor signals that the vehicle starts and can be ridden normally. If the helmet is not worn, the processor will sound an alarm to remind the user to wear the helmet correctly before starting the ride. This solution can avoid violations such as users wearing helmets or taking off helmets halfway, and improve the overall safety level of shared electric bikes.
Post time: Jul-21-2023
