ADVANCED ALCOHOL DETECTION AND AUTOMATED VEHICLE RESPONSE SYSTEM

Abstract

The pervasive issue of drunk driving significantly leads to road accidents, leading to loss of lives and property. This thesis presents the development of an innovative Alcohol Detection and Vehicle speed Control System designed to reduce such kinds of incidents. The system integrates an Alcohol Sensor, GSM module, and Motor Driver with an Arduino Uno to detect Alcohol Levels in a driver's breath and control the vehicle's speed accordingly. Upon detection of alcohol, the system sends real-time alerts to predefined contacts, providing location data to facilitate timely intervention. This research explores the technical design, implementation, and efficacy of the system in promoting road safety.

Specification

Introduction
Driving due to drinking is a major concern in India, leading to a high number of accidents and deaths each year. According to the MoRTH, alcohol-impaired driving caused over 10,000 accidents in 2020 alone, resulting in more than 2,000 deaths and more than 5000 injuries. Despite strict laws and regular enforcement drives, the rate of drunk driving remains a significant issue.
In urban areas like Delhi, Mumbai, and Bangalore, law enforcement agencies conduct regular breathalyzer tests and set up checkpoints to deter drunk driving. However, these measures are often insufficient due to the large volume of traffic and the extensive road network, making it difficult for authorities to monitor every driver effectively. As a result, many drivers manage to evade detection, posing a constant threat to road safety.
The problem is compounded by the social acceptance of drinking and driving in certain communities, where alcohol consumption is often associated with social status. Public awareness campaigns have been initiated to combat this mindset, but changing deeply ingrained behaviors takes time. In rural areas, the situation is even more challenging due to limited enforcement and a lack of awareness about the dangers of drunk driving.
Our project, the Alcohol Detection and Vehicle Control System, aims to address this critical issue by integrating advanced technology directly into vehicles. This system ensures continuous monitoring and immediate intervention when necessary, making it a powerful tool in the fight against drunk driving in India. By leveraging real-time data and automated responses, we can create a safer driving environment for everyone on Indian roads.
2. System Architecture
The system architecture of the Alcohol Detection and Vehicle Control System is designed to integrate seamlessly into various types of vehicles, providing real-time monitoring and control. The core of the system is an Arduino Microcontroller, which serves as the central processing unit. This microcontroller is responsible for processing the data received from various sensors and executing the necessary control actions.
The primary sensor used in the system is the MQ-3 alcohol sensor. This sensor continuously monitors the alcohol levels in the driver's breath, sending data to the Arduino.
The sensitivity and reliability of the MQ-3 sensor make it an ideal choice for this application, ensuring accurate detection of alcohol presence. The sensor is strategically placed within the vehicle to maximize its effectiveness.

Based on predefined thresholds, the Arduino controls the motor driver (L293D) to adjust the vehicle's speed or stop it completely. The motor driver is connected to the vehicle's engine control system, allowing it to regulate the engine's power output. This setup ensures that the vehicle can be safely and effectively controlled in response to the detected alcohol levels, reducing the risk of accidents.
To enhance communication capabilities, the system includes a GSM module. This module is used to send SMS alerts to predefined contacts, including the local authorities and a saved emergency contact, with the vehicle's real-time GPS coordinates. The integration of the GSM module ensures that critical information is relayed promptly, enabling rapid response from emergency services and family members.
The GPS module provides accurate real-time location data, crucial for the alert system.
This data is used to pinpoint the vehicle's location and include it in the SMS alerts. An LCD display is used to show the system's status and the detected alcohol level, providing immediate feedback to the driver. LED indicators further enhance the user interface by signaling the operational mode of the system (normal operation, reduced speed, or stopped).
The combination of these components creates a comprehensive and responsive system capable of preventing drunk driving incidents.
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3. Implementation
To design and develop the Alcohol Detection and Vehicle Control System, we employed a structured approach based on iterative testing and validation. The model integrates several key components, each playing a critical role in the system's functionality. The alcohol sensor is calibrated to accurately detect the presence of alcohol in the driver's breath, ensuring reliable data input.

This data is processed by the Arduino Microcontroller, which is programmed to trigger specific actions based on the alcohol concentration detected. For instance, if the alcohol level exceeds a certain threshold, the system will reduce the vehicle's speed to a safe limit, or stop the vehicle entirely if the level is critically high.
Simultaneously, the SIM800L sends an message containing the vehicle's GPS coordinates to predefined contacts, ensuring immediate notification of the situation. The GPS module provides accurate real-time location data, crucial for the alert system. An LCD display is used to show the system's status and the detected alcohol level, providing immediate feedback to the driver. LED indicators further enhance the user interface by signaling the operational mode of the system (normal operation, reduced speed, or stopped).

This implementation ensures that the system is both proactive and reactive, capable of preventing drunk driving and facilitating rapid response in case of an emergency. The integration of advanced sensors and communication modules into a cohesive system highlights the innovative approach taken to address the persistent issue of drunk driving, making roads safer for everyone.


A vehicle irrespective of two-wheelers or four-wheelers has the circuit which helps us to provide better efficiency. 2. Ail IC is mounted on this circuit to enable speed control. 3. It is a cost effective model and can easily be mounted in vehicles. 4. It automatically detecting Alcohol levels in drivers can prevent accidents caused by impaired driving, thereby saving lives and reducing injury rates.

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