Year: 2025
Type: article
Abstract: This study introduces a practical, tech- driven approach to tackling road accidents caused by drunk driving—a persistent issue even after speed limits and other preventive measures. While reckless driving, speeding, and alcohol impairment remain leading causes of crashes, our team has designed an innovative IoT- based in-vehicle system using an ESP32 microcontroller. The setup integrates an MQ3 alcohol detection sensor, DC motor and a L298 dual H-bridge motor driver to control vehicle movement At its core, the Alcohol detection sensor continuously tracks the driver’s breath for alcohol levels, cleverly embedded into the steering wheel for seamless operation. If the alcohol concentration exceeds the legal threshold of 0.5 mg/mL, the system doesn’t just sound an alarm— it automatically alerts designated contacts or authorities via SMS. It also monitors speeding, adding an extra layer of safety. During testing, the alcohol sensor proved both fast and reliable, reacting instantly to alcohol detection and maintaining consistent performance over time. By merging real-time alerts with cloud connectivity, this system offers a user-friendly, proactive solution to curb impaired driving and save lives
Author: Ayush K Santhosh
Institution: Noida Institute of Engineering and Technology
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410540285