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@article{160607,
        author = {Kartik Roshan Naidu and Pratik Gunjal and Shivani Kumari and Sonal Kumari and Anand Singh Rajawat},
        title = {Cloud based Smart Gate Pass System using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {732-738},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160607},
        abstract = {Nowadays there is dire need for having a robust security system anywhere is a mandatory aspect of an institution. The project aims towards the design of an Automatic Smart Gate pass system using facial recognition technology based on real-time video processing and real-time data receiving and transmitting from the database. Whole project is hosted on a Cloud architecture where the system is agile and faster to use. Single photo is uploaded to the database when registering as a new person and when the person enters the campus the camera connected to the project will analyze all the facial details through machine learning node and try to fetch it from the database. The facial data stored in the database is the compared with camera feed in real-time and then if it matches then the individual is allowed to get inside the campus premises and if not matched then he/she is not allowed to get inside. To track the action, the system provides a simple graphical user interface (GUI), which helps to monitor the actions easily},
        keywords = {Robust Security, facial recognition, real-time, Smart Gate Pass system, Cloud architecture, agile, Database, Machine learning.},
        month = {},
        }