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@article{154716,
        author = {N. Pavani and Ch. V. Lahari priya and K. Sunil and B.Rambabu},
        title = {Iot based temperature and mask scan entry system},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {169-173},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154716},
        abstract = {The project's main goal is to detect the presence of a face mask on human faces, as well as the person's body temperature, in real-time video and photos. Through its decision-making process, Artificial Intelligence has showed promise in health care. Wearing face masks and maintaining safe social distance are the two key procedures that must be followed in public settings to prevent the virus from spreading further. In order to build our face mask detection, we applied both machine learning and deep learning. We offer a dynamic Computer Vision-based automated solution system focusing on real-time face surveillance of people in public areas to detect face mask protocol violations with an embedded Pi camera and to monitor body temperature in order to provide a safe, COVID-19 healthy environment.
 If the person is wearing a face mask and their body temperature is under WHO norms, a security clearance procedure is in place that will enable them to enter. In this manner, the previously mentioned approach will profit society by saving time and forestalling the transmission of COVID. As a result, the above approach will benefit society by saving time and reducing the spread of the corona virus. This can be used in hallways, offices, colleges, and schools, among other places.},
        keywords = {},
        month = {},
        }