Anti Sleep Alarm for Driver and Vehicle Control, Alcohol Detection and Accelerometer Sensor using Raspberry Pi

Abstract - This project proposes a smart driver monitoring and safety system that utilizes Raspberry Pi to detect drowsiness, alcohol consumption, and abnormal vehicle movement. The system incorporates an live camera for identifying signs of fatigue, an MQ-3 alcohol sensor for detecting alcohol presence, and an MPU6050 accelerometer to monitor vehicle motion and detect possible collisions or erratic driving behaviour. The Raspberry Pi functions as the central processing unit, analysing real-time sensor data to ensure the driver’s fitness for operating the vehicle. Upon detecting drowsiness or alcohol, the system activates warning alerts and can disable the vehicle ignition or send notifications to concerned authorities or contacts. Additionally, abnormal acceleration patterns or impacts detected by the accelerometer trigger emergency protocols, enhancing passenger safety. The system is designed to be compact, low-cost, and easily adaptable to a wide range of vehicles, aiming to minimize accidents caused by human error and improve road safety. Key Words: Driver drowsiness, alcohol detection, Raspberry Pi, accelerometer, vehicle safety, real-time monitoring.