Intelligent Accident Prevention System using IoT.

Despite the technological advancements of this era, road accidents remain a major concern, leading to public health issues and the loss of lakhs of lives annually throughout the country. The leading cause of road accidents worldwide is the consumption of alcohol before driving. Drunk drivers are in an unstable state, resulting in impulsive judgments on the road and endangering the lives of other road users. Another issue is unlicensed individuals driving illegally. To strengthen the identification system for drunken and unlicensed drivers, the advancement of vehicle engineering is crucial. To address these problems, we propose using a gear locking technology that prevents drunk drivers from operating a vehicle. Instead of an engine locking system, our proposed system uses a gear locking mechanism, allowing the engine to work for the air conditioning while locking the gear system if the driver is drunk. Our system includes a method for detecting the presence of alcohol from the breath of drivers using an MQ3 sensor and ATMEGA2560 microcontroller. Additionally, a fingerprint scanner is available for license verification. Due to its compact size, cost-effectiveness, excellent dependability, and high reliability, the proposed system is an ideal solution for preventing both drunken and unlicensed driving.