Design and Implementation of Smart-Alert System with Engine Immobilization

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

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-20
DOI
https://doi.org/10.22214/ijraset.2025.71175
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and Implementation of Smart-Alert System with Engine Immobilization

Anjana Snehith Santhosh
International Journal for Research in Applied Science and Engineering Technology
Advanced Sensor and Control Systems
article

Design and Implementation of Smart-Alert System with Engine Immobilization

Anjana Snehith Santhosh
article en

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

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Jaypee Institute of Information Technology (IN)
Openalex Percentile: Top 88%
Advanced Sensor and Control Systems
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