Dependable Safety and Cutting-Edge Security for Electric Motorcycles, Driven by Artificial Intelligence.
Lipin Paul1, Dr. Shebin Sharief2, Dhivya Haridas3, Chithira Johny4, Manju Rani Mathew5, Anju Mary Mathew6
1 EEE Department & Ilahia College of Engineering & Technology, Mulavoor
2 MBA Department & DC School of Management & Technology, Vagamon
3 EEE Department & Ilahia College of Engineering & Technology, Mulavoor
4EEE Department & Ilahia College of Engineering & Technology, Mulavoor
5 ECE Department & Ilahia College of Engineering & Technology, Mulavoor
6Department of Mathematics & Sree Sankara Vidhyapeetom College, Valayanchirangara
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Abstract - In response to the growing concerns over electric motorcycle theft and the lack of robust security systems, this project introduces a comprehensive software and security solution designed specifically for electric two-wheelers. The system integrates advanced features including intelligent power modes, a throttle lock, a GPS-based tracking system, an audible alarm, and a "Find My Bike" function, all aimed at enhancing security and improving user control. The intelligent power mode dynamically adjusts the motorcycle’s performance based on terrain using an AI-powered control system, ensuring optimal efficiency and ride comfort. A core feature is the throttle lock, which electronically disables motor functionality when activated, preventing unauthorized movement. The GPS module provides real-time location tracking, while the alarm system is triggered by motion sensors to alert nearby individuals and deter theft. The “Find My Bike” feature helps users quickly locate their vehicle through the mobile application, which also provides real-time notifications, location history, and remote access to vehicle controls. The system stores essential information such as driver identity and vehicle registration, offering a secure and centralized data repository. Built on an embedded microcontroller platform, the system uses encrypted communication protocols for secure data transmission and supports over-the-air updates for continuous improvement. The mobile application, compatible with Android and iOS, serves as the primary user interface, offering full access to telemetry, security features, and user preferences. This project not only addresses current security limitations but also sets a foundation for smarter, safer electric mobility solutions through intelligent automation and connected technology.
Key Words: AI, Safety, GPS, Anti theft system
