• N. Kruthika
• K. Balakrishna
• B. Mahidhar
• G. Rupesh
• P. Muthulakshmi, J. Amarendra

For urban inhabitants, security and safety have always been a must. CCTV cameras are used to monitor and detect things. Because of the usage of a computer, CCTV cameras are expensive for surveillance. It takes up far too much space for continuous recording, and it also necessitates the use of labor to detect illicit activity. To solve the problem, we used Raspberry PI and IoT. In comparison to existing systems, the Raspberry Pi is significantly less expensive, has a higher resolution, and uses less power. We use image processing on live video to detect theft using motion and also highlight the area where motion occurred in this project "IOT-based theft detection project using Raspberry Pi," in which we use image processing on live video to detect theft using motion and also highlight the area where motion occurred. We use a camera, a Raspberry Pi, and storage in this system. When a camera detects motion, the system employs image processing to pinpoint the exact location of the motion and highlights it. The technology now sends photographs of the occurrence to the user's computer via IoT, where they may be seen online. It also saves the video to a USB device for later use. The user can now decode data transmitted over the internet via IoT, and use the IoT system to view photographs of motion occurrences live over the internet. Asa result, the system offers a novel method for IoT-based Theft Detection.

"IoT-BASED THEFT DETECTION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.m558-m563, April-2023, Available :http://www.jetir.org/papers/JETIR2304C72.pdf

"IoT-BASED THEFT DETECTION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppm558-m563, April-2023, Available at : http://www.jetir.org/papers/JETIR2304C72.pdf