IOT Based Car Theft Detection and Prevention System

The increasing number of vehicle theft incidents highlights the limitations of conventional security mechanisms such as mechanical locks and alarm-based systems. These traditional approaches lack real-time intelligence, remote accessibility, and preventive control. This research paper presents a deeply integrated IoT-based Car Theft Detection and Prevention System that combines sensing, communication, and cloud-based decision-making to enhance vehicle security. The proposed system utilizes a NodeMCU microcontroller interfaced with vibration sensors, GPS, and GSM modules to continuously monitor vehicle status, detect unauthorized activities, and initiate immediate responses. Upon detection of suspicious behavior, the system transmits real-time alerts and precise location information to the vehicle owner while enabling remote immobilization through engine control simulation. The system architecture emphasizes reliability, low-cost implementation, scalability, and real-time responsiveness, making it suitable for modern smart transportation environments.