Booth Id:
EBED005T
Category:
Embedded Systems
Year:
2022
Finalist Names:
Louie, Ho Shun Louisa (School: Heung To Secondary School (Tseung Kwan O))
Wong, Lo Yi Tiffany (School: Heung To Secondary School (Tseung Kwan O))
Abstract:
Traffic accidents due to drivers’ drowsiness cause increasing amount of deaths and injuries. To minimize this, we invented a product called “Driver Drowsiness Detection System” which is installed inside the vehicles to check if the driver is drowsy. The system is made of Raspberry Pi 3 microcontroller, web camera, LEDs, LCD-display and loudspeakers. When the driver is drowsy, LEDs will turn ON and the LCD-display will show a warming signal for passengers (including visually impaired and hearing impaired passengers). The voice system will also inform the passengers that the driver is drowsy and ask passengers to wake up the driver to avoid an accident. Email will be sent immediately to the transport company to record the driver’s drowsiness data and the management team may contact the driver and wake up the driver immediately. The transport company can analyze the data and reschedule the rest time of the driver to ensure that no driver works in a tired state. The repeated tests showed that the system detects the driver’s drowsiness with 95% accuracy. Even if the driver wears a mask or glasses, the system can still monitor the driver's state. The tests also find that the system can wake up drivers successfully when they are drowsy. To conclude, by using the system, passengers can travel safely if the system is installed at public transportation. Drivers' safety awareness and service performance can be enhanced through this system. Since the system is automated, it will not increase the workload of drivers.