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@article{151071,
        author = {Siddhesh Pawar and Komal Dhar and Parth Govekar and Gayatri Hegde },
        title = {Face recognition based door unlocking using Raspberry pi},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {11},
        pages = {561-566},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151071},
        abstract = {Today we are facing security issues in every aspect. So to resolve these issues by using updated technology. In this project, the Face recognition module is used to capture human images and to compare with stored database images. If it matches with the authorized user then the system will unlock the door by an solenoid lock. The user can also unlock the door using the android app on his phone. The need for a facial recognition system that is fast and accurate that continuously increases which can detect intruders and restricts all unauthorized users from highly secured areas and aids in minimizing human error. Face recognition is one of the most Secured System than biometric pattern recognition techniques which is used in a large spectrum of applications. The time and accuracy factor is considered about the major problem which specifies the performance of automatic face recognition in real-time environments. Various solutions have been proposed using multicore systems. By considering the present challenge, this provides the complete architectural design and proposes an analysis for a real-time face recognition system with OpenCV and CNN Algorithm.. },
        keywords = {OpenCV, Android app , Face Detection, CNN, Face Recognition },
        month = {},
        }