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@article{163155,
        author = {Rohit Rathod and Tanaya Deshmukh and Shekhar Lahamge and Sushma Deshmukh and Tanvi Deshmukh },
        title = {Vehicle Security System Using IoT Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {770-773},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163155},
        abstract = {In this 21st century, there's a rapid increase in the number of vehicles so that the number of car theft attempts also increases, locally and internationally. With the invention of strong stealing techniques, owners are in fear of having their vehicles being stolen from the common parking lot or from outside their home. In this proposed vehicle security system face detection system (FDS) is used to detect the face of the driver and compare it with the predefined face. Real-time vehicle security system supported computer vision provides an answer to the present problem. The proposed vehicle security system performs image processing based on real-time user authentication using face detection and recognition techniques. As the person enters the parked car to the driver's seat of the vehicle activates the hidden camera fixed in an appropriate position inside the vehicle. As soon as the image is acquired from the activated camera, the face of the person is detected. The extracted face is recognized using the LBPH. If the face of the person is detected as unknown then this integrated system will be sent the image of the person to the device of the owner via mail and the ignition system remains lock. When there will be authenticated person will seat on the driver sit then this ignition will unlock},
        keywords = {Open CV, Raspberry pi, Image Processing, Car Protection system, Ignition Lock. },
        month = {},
        }