Design and Fabrication of Driver Sleep Detection and Alarming System using IoT
Keywords:
Face recognition, real-time monitoring, sleep prevention, Arduino Uno, infrared cameras, and microcontroller-based systems.Abstract
Driver fatigue is one of the main contributing factors to traffic accidents is driver fatigue,which can have serious repercussions, including injuries and fatalities. This study introduces a Driver Sleep Detection and Alarming System that integrates an Arduino Uno
microcontroller with a facial detection system based on infrared cameras. By examining eye closure and facial movements, the system continuously scans the driver's face to detect signs of drowsiness. An alarm is set off to warn the driver if fatigue is detected, lowering the possibility of collisions. This approach offers a practical, affordable, and non-intrusive way to improve road safety and monitor drivers in real time.
References
National Highway Traffic Safety Administration (NHTSA). "Drowsy Driving and Automobile Crashes." [www.nhtsa.gov](https://www.nhtsa.gov)
Smith, A. (2022). "Real-time Eye-tracking for Drowsiness Detection," Journal of Traffic Safety, 10(3), 112-125.
Lee, B., & Kim, J. (2021). "Wearable Sensor-based Fatigue Monitoring," IEEE Transactions on Human-Machine Interaction, 15(2), 89-102.
