IoT Based Alcohol Detection and Vehicle Control System
It is of the utmost importance to be aware of safety measures when operating a motor vehicle in the contemporary world, characterized by a fast-paced and hazardous environment. It has become necessary to develop innovative technology in order to improve road safety as a result of the alarmingly high number of incidents that can be linked to drivers who are under the influence of alcohol. As a solution to this significant problem, this study uses the capabilities offered by the Internet of Things (IoT) to develop an integrated system for detecting and controlling alcohol in commercial vehicles. This study aims to reduce the dangers connected with driving under the influence of alcohol by allowing for the seamless integration of cutting-edge alcohol detection technologies with real-time vehicle control mechanisms. The system makes use of specific sensors for the detection of alcohol. It interacts with the control mechanisms of the vehicle in order to restrict its functioning when alcohol is present. To make this possible, the hardware component of the system mounted in the vehicle uses the MQ3 sensor, also known as the alcohol sensor. This sensor is responsible for monitoring the alcohol molecules in the air around the driver to determine whether or not the driver is intoxicated. A buzzer, a DC motor, an LCD, a GPS, and a GSM are all components utilized by the system for data transfer. Additionally, the gear is powered by a 12-volt battery. As soon as the system determines that there is alcohol present in the vehicle, it immediately locks the accelerator. Using the GPS, the driver can obtain their location coordinates.
Authors
- P. Chinnasamy (ORCID: https://orcid.org/0000-0002-3202-4299)
- V K Viswanadha Raju
- V. Vaithianathan
- I. Sapthami
- G Kumaran
- Ramesh Kumar Ayyasamy (ORCID: https://orcid.org/0000-0002-3538-3887)
Institutions
- Saveetha University (IN)
- Sri Sivasubramaniya Nadar College of Engineering (IN)
- Universiti Tunku Abdul Rahman (MY)
- Kalasalingam Academy of Research and Education (IN)
Publication Details
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1109/icdici62993.2024.10810851
- Citations
- 3
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.55