The number of traffic accidents is rising daily, vehicle accidents are mainly caused by carelessness and drowsiness. Existing projects related to accident prevention detects the unconsciousness through eye blink rate and alcohol detection , but they monitor the eyes of the driver with the USB camera attached in the vehicle, which is only effective in bright light conditions during days, but they lack in dark conditions especially in nights and USB cameras are attached not wearable. Therefore an efficient system is proposed to indicate the eye blink rate through the IR sensor which is effective in both dark and day lighting conditions and the MQ-3 sensor for alcohol detection, both the sensors are integrated in the helmet which is wearable. The proposed system prevents accidents by monitoring driver drowsiness which is detected by monitoring eye blinks in conjunction with alcohol testing. Together with the LCD, ignition system, and buzzer. The multisensory helmet is connected with Arduino UNO microcontroller. In cases where driver is discovered to be unconscious, the buzzer keeps them awake. The power supply to the ignition system is cut off, unless the motorist reacts to the buzzer sound after a predetermined amount of time. Since combustion cannot take place without power, the car is controlled by this mechanism. The vehicle is not triggered if it is determined that the driver is intoxicated. In the case that the driver does not respond to the buzzer, the multisensory system stops the power to the spark plug, preventing an accident. The system keeps the driver to be conscious while driving thus increasing the probability of safe driving, it is proved to be 87% effective in drowsiness detection and alerting mechanism.

Alcohol Detection, Drowsiness, Eye Blink Sensor, Ignition System