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@article{155269,
        author = {S.YAMINI and D.Gowtham and K.Uma maheswari and B.Karthik and K.Prudhvi yadav and P.Siva rama krishna and U.Sai krishna},
        title = {TEMPERATURE AND FACE MASK SCAN ENTRY SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {442-447},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155269},
        abstract = {COVID 19 pandemic is causing a global health epidemic. The most powerful safety tool is wearing a face mask in public places and everywhere else. The COVID 19 outbreak forced governments around the world to implement lockdowns to detect virus transmission. According to survey reports, wearing a face mask at public places reduces the risk of transmission significantly. A machine learning model for monitoring body temperature and face mask detection. The proposed model can be used for any shopping mall, hotel, apartment entrance, etc. As an outcome a cost-effective and reliable method of using AI and sensors to build a healthy environment. Evaluation of the proposed framework is done by the Face Mask Detection algorithm using the open-CV software library. Besides, the body temperature of the individual is monitored using a non-contact temperature sensor.},
        keywords = {},
        month = {},
        }