International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Alcohol Sensing Alert with Engine Lock System |
|---|---|
| ABSTRACT | Alcohol-impaired driving continues to be a leading contributor to road traffic fatalities and injuries across the globe. This paper presents the design and implementation of an Alcohol Sensing Alert with Automatic Engine Lock System — an embedded safety solution that autonomously detects ethanol concentration in the driver's vicinity and prevents vehicle ignition when unsafe levels are identified. The system employs an MQ-3 semiconductor gas sensor interfaced with an Arduino UNO microcontroller, a relay module for ignition circuit control, a 16×2 LCD display, and an active buzzer for real-time audio-visual alerts. Upon detecting alcohol concentration beyond a calibrated threshold, the microcontroller simultaneously activates the warning outputs and opens the relay to disable the engine, ensuring the vehicle cannot be operated. The prototype validates the technical feasibility of embedding proactive intoxication detection into standard vehicle architecture, offering a low-cost, reliable, and autonomous mechanism to support road safety and reduce alcohol-related accidents. |
| AUTHOR | POOJA PATOLE, YASH NAVGIRE, SHREYA KUCHEKAR, DEVIKA PATIL, PROF. A. H. PALLE Polytechnic Student, Dept. of E&TC, Bhivrabai Sawant Polytechnic, J.S.P.M. University, Waghoil, Pune, India Dept. of E&TC., Bhivrabai Sawant Polytechnic, J.S.P.M. University, Waghoil, Pune, India |
| VOLUME | 181 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1402030 |
| pdf/30_Alcohol Sensing Alert with Engine Lock System.pdf | |
| KEYWORDS | |
| References | 1. Patel, R., & Desai, P. (2019). Smart Alcohol Detection System for Vehicles Using MQ-3 Sensor. International Journal of Engineering Research & Technology (IJERT). 2. Kumar, S., & Singh, A. (2020). IoT-Based Drunken Driving Prevention System. IEEE International Conference on Intelligent Transportation Systems. 3. Mehta, S., and Kapoor, D., "Driver impairment detection combining alcohol sensing and drowsiness monitoring," Journal of Intelligent Transportation Systems Research, vol. 14, no. 2, pp. 88–95, 2022. 4. Deshmukh, P., Kulkarni, R., and Shinde, M., "Location-aware alcohol detection system for fleet management applications," International Journal of Innovative Research in Computer Science and Technology, vol. 10, no. 3, pp. 78–84, 2022. 5. Verma, H., Chaudhary, S., and Mishra, R., "Machine learning approach for robust driver intoxication detection using multi-sensor data," IEEE Transactions on Intelligent Vehicles, vol. 8, no. 1, pp. 345–352, 2023. 6. Ramesh, K., & Babu, M. (2021). Design and Development of Alcohol Detection with Engine Lock System. International Journal of Advanced Research in Electronics and Communication Engineering. 7. World Health Organization, Global Status Report on Road Safety 2021, Geneva: WHO Press, 2021. |
