Enhancing Vehicle Safety with Advanced Alcohol Breath Analysis System (KEY IJP************763)

• 1t. Vijay Kumar, R.abhilash Reddy,k.sai Karthik,p.chandra Sekhar ,s.althaf Shami ,s.harsha Vardhan Yadavu

Abstract

Abstract Addressing the pressing issue of drunk driving, we present an innovative solution employing an advanced alcohol breath analysis system integrated into vehicles. This system, leveraging IoT technology, comprises a cost-effective alcohol breath analyser seamlessly interfaced with a microcontroller. Through the integration of an alcohol sensor with a mobile device for communication, our system effectively evaluates the sobriety of vehicle operators. When detecting alcohol content above a predefined threshold, the system promptly disables the vehicle's engine and activates a buzzer alarm, preventing potential accidents due to impaired driving. The microcontroller orchestrates these actions, ensuring the safety of individuals on the road. Our meticulously designed project aims to curb the dangers associated with intoxicated driving, thereby mitigating road accidents and saving lives. Implemented using Arduino IDE and C++, the system utilizes hardware components such as Arduino Nano microcontroller, OLED display, MQ-3 alcohol sensor, relay, ULN 2003 driver, DC motor, and buzzer. This integration of software and hardware tools offers a comprehensive solution to enhance vehicle safety and combat the menace of drunk driving effectively.Key words: Oled, Mq-3, UlN-2003