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Secondary School YPEC 2021

SS03-Driver Drowsiness Detection System

Accidents will occur if the drivers is drowsy when driving. To avoid this, we design and prepare an instrument called “Driver Drowsiness Detection System” which uses Facial Recognition Technique to detect the status of the driver. The system uses Raspberry pi 4 as microcontroller to control the operation of the system, and webcam is used to monitor the drivers’ status. The features of “Driver Drowsiness System ” are as follows:

  • LED, LCD display and human-voice system are adopted to let passengers (including visually impaired and hearing impaired passengers) know that the driver is drowsy. When the driver is drowsy, passengers can immediately wake up the driver to protect their own safety and avoid traffic accidents
  • When the driver is drowsy, the system will immediately send an email to his/her supervisor so that he/she can contact the driver to ensure the safety of the driver and passengers, and to avoid traffic accidents
  • When the driver is drowsy, the system will immediately take photos and record the date and time of the driver’s drowsiness so that follow-up action can be taken by the public transport service and let the company analyze the frequency of the driver’s drowsiness when driving so that the company may rearrange the working hours and resting time of drivers to ensure the health of the driver