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@article{154757,
        author = {Gaurav Sable and Gaurav Sharma and Manish Bhalerao and S.S. Repal and Yash Ramugade},
        title = {IOT Based Theft Detection using Raspberry Pi},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {281-284},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154757},
        abstract = {For the 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 a circuit with an LCD display with infrared for night vision and a USB drive for 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. As a result, the system offers a novel method for IoT-based Theft Detection.},
        keywords = {IoT (Internet of Things), IR Sensor, Raspberry PI, USB, UVC Driver},
        month = {},
        }