Abstract
COVID-19 pandemic has changed plenty of things around us. Now days, the use of face mask is very essential for protection against the deadly virus, and at some places, it is compulsory too. Similarly, temperature measurement of people specifically in public places like school, colleges, cinema halls, and some other crowded areas becomes a necessity, but it is a very tedious task to manage. It has also been observed that people do not wear face mask putting the life of others in danger. It is not possible to keep an eye on everyone in crowded places, and manually, it is next to impossible. By analyzing this problem, in this paper, an IoT-based face mask and temperature detection system using Arduino is presented. The measurement of temperature is performed using MLX90614 temperature sensor which sends an alert signal if the value exceeds the pre-determined threshold value. The face mask detection is done by a Convolutional Neural Network (CNN)-based face mask classifier. Additionally, there is one more system present in which if the temperature of a person is found above the threshold value, then in that case, a sanitizer dispenser will not dispense a sanitizer and that person will not be allowed to enter into the premises. So, the proposed method is simple, economical, and robust enough to be used in crowded places and can be implemented anywhere and very effectively which eases our work.
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Shukla, V., Gupta, S., Joshi, H.D. (2024). IoT-Based Face Mask and Temperature Detection Using Arduino. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_20
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DOI: https://doi.org/10.1007/978-981-97-0641-9_20
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