MotoGuard: Smart IoT-Based Two-Wheeler Anti-Theft Detection System

Authors: Arjun M, Ammu K Reji, Akhil Shaji, Meenu M R, Dr.Rani Saritha R

Abstract: In this work, MotoGuard, a smart IoT-based two-wheeler anti-theft detection system, is designed and evaluated to provide real-time monitoring and instant alerts. The system uses an ESP-32 microcontroller integrated with SW-420 and MPU6050 sensors to detect unauthorized movement, shock, or tampering. Detected events are transmitted to Firebase cloud services, and alerts are delivered to an Android application developed using Kotlin and Jetpack Compose. Experimental results show reliable detection with minimal false alerts after threshold tuning, and alert delivery latency within one to two seconds. The results indicate that MotoGuard is a low-cost, effective, and scalable solution for improving two-wheeler security through real-time alerting and continuous monitoring.