MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202621099069 A) filed by Dr. D. Y. Patil Institute Of Technology, Pimpri, Pune -; and Dnyaan Prasad Global University, School Of Technology And Research on August 17, 2026, for Vehicle Theft Detection Using Gps, Gsm And Raspberry Pi.
Inventors include Mrs. Rutuja Tikait; Yash Ajabe; Vinayak Shinde; and Om Patil.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The Vehicle Theft Detection System Based on GSM, GPS, and Raspberry Pi is an Internet of Things-based security solution for the detection and prevention of vehicles’ unauthorized access, developed using a system of real-time tracking and artificial intelligence facial recognition. The device is coupled with a GPS module that carries out location detection and a GSM module with instant alert notifications, and Raspberry Pi as its central processing unit. Haar cascade algorithm-based algorithm is a program that processes video input by analyzing facial features in order to distinguish between authorized and unauthorized users. On theft attempt detection, it alerts its owner through SMS or call notification containing Realtime location information, and in addition, it can turn off the vehicle’s engine. The invention goes on to offer an affordable, scalable, and smart theft protection solution for personal cars, as well as a commercial vehicle theft deterrent system. Management, rental services, and smart transportation security. Through the integration of IoT, AI, and real-times, monitoring, this system raises the security and efficiency of car theft recovery. In contrast conventional automobile security systems which used GPS tracking or alarm activation alone, the present invention offers a proactive form of security protection through analysis of live video broadcasting to detect unauthorized access attempts, theft, and unauthorized use, and a reactive before moving the vehicle. The amalgamation of remote monitoring and controlling through mobile notifications guarantees that car owners are able to react accordingly with regard to the location of their location or immobilizing the engine. With the ability to make decisions through artificial intelligence, real-time notifications, as well as the ability to be connected to the Internet of Things for tracking, the system provides a next-generation vehicle security solution that decreases the chances of theft and enhanced automobile recovery rates.
Disclaimer: Curated by HT Syndication.
