Research Article
3Wheeler & 4Wheeler Autos Theft Detection and Prevention
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357750, author={Vinoparkavi D and Mythily V and Manojini S and Thanusiya C and Sandhya Sree S}, title={3Wheeler \& 4Wheeler Autos Theft Detection and Prevention}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={location tracking alert system gps gsm microcontroller fingerprint iot vehicle tracking machine learning anomaly detection}, doi={10.4108/eai.28-4-2025.2357750} }- Vinoparkavi D
Mythily V
Manojini S
Thanusiya C
Sandhya Sree S
Year: 2025
3Wheeler & 4Wheeler Autos Theft Detection and Prevention
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357750
Abstract
The solution is aimed at ensuring secure vehicles through amalgamation of technologies like Machine Learning (ML), Internet of Things (IoT) and biometric authentication that can help in preventing vehicle theft. Through anomaly detection based on ML models, GPS, accelerometers, and ignition sensors are employed to track vehicles. It uses RTT, geofencing, and IoT-based remote engine lock to prevent unauthorized access and alarms the owner and police simultaneously. This paper provides a globalized vehicle security system using the technology to prevent cars from being stolen and track down those which are.
Copyright © 2025–2025 EAI
