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@article{186232,
        author = {Ayisha Khanum and Varun K S},
        title = {An IoT-Based Anti-Bike Theft System Using ESP32 Microcontroller},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1153-1161},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186232},
        abstract = {The increasing prevalence of two-wheeler theft in urban and rural areas underscores the limitations of traditional mechanical locks and the prohibitive cost of high-end GPS tracking solutions. This paper presents the design, implementation, and testing of a low-cost, smart anti-theft system for motorcycles and scooters leveraging Internet of Things (IoT) technology. The proposed system utilizes an ESP32 microcontroller as its central processing unit, integrated with a key switch, a hidden toggle switch, a buzzer, and a DC motor for simulation purposes. Upon detection of unauthorized access triggered when the ignition is activated while the anti-theft mode is armed the system initiates a dual-layer response: a local audible alarm via the buzzer and a real-time push notification sent to the owner's smartphone through the Blynk IoT cloud platform. The system architecture emphasizes cost-effectiveness, ease of deployment, and user-friendly operation. Testing confirms the system's reliability in detecting intrusion attempts and its efficacy in delivering instantaneous alerts. The paper concludes by discussing the successful prototype and proposing future enhancements, including GPS tracking, biometric authentication, and advanced cloud integration, to further bolster security and functionality.},
        keywords = {IoT, ESP32, Anti-Theft System, Blynk, Real-time Alerts, Bike Security, Microcontroller.},
        month = {November},
        }