This project develops an intelligent driver monitoring system using Raspberry Pi to enhance road safety by tracking driver behavior and detecting fatigue or distraction, offering real-time alerts to promote safer driving.
The Intelligent Driver Monitoring System using Raspberry Pi is designed to enhance road safety by monitoring the driver's alertness and detecting signs of drowsiness or fatigue. The system incorporates a Raspberry Pi, camera module, MEMS sensor, vibration motor, and relay to create a comprehensive solution. The camera continuously captures the driver's face and uses facial recognition algorithms to assess signs of drowsiness. If the system detects that the driver has fallen asleep or is exhibiting signs of fatigue, the vibration motor activates to alert the driver and prevent potential accidents. Additionally, the MEMS sensor monitors the driver's movements, detecting any abnormal behavior, such as falling or sudden head tilts, which could indicate loss of consciousness. If any unusual movement is detected, the system can trigger an alarm or activate the relay to stop the vehicle, ensuring the driver's safety. This integrated system leverages real-time monitoring and intelligent alert mechanisms to prevent road accidents due to driver drowsiness or inattention, making it a crucial tool for improving driving safety.
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