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@article{150885,
        author = {Deepak R and Andrew shelton and Aravindhan and Jayanthi S},
        title = {Real time parking space finder},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {10},
        pages = {300-303},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150885},
        abstract = {The aim of OpenCV is to help the computer to manipulate the content of an image and do some specific tasks over it. OpenCV is a library of programming functions mainly used for image processing. We can solve many real time problems using image processing applications. The rise in the field of OpenCV makes way for many new inventions. In this paper, we can implement this concept to track whether the parking space is occupied or not using OpenCV to detect vehicles. Detection of those vehicles is mainly based on motion detection, Whereas the module is implemented in Raspberry Pi single board computer to achieve IoT automation. It regularly tracks the parking space and compares with the empty parking lot coordinate image. If any free space available it will be automatically sent to the remote database, which is then retrieved by the user while accessing the website or mobile app and finding the available spaces.},
        keywords = {OpenCV, Laplacian Transformation, IoT automation, web tech},
        month = {},
        }