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COVID-19 AI Inspector

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HCI in Business, Government and Organizations (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13327))

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Abstract

In this paper, we aimed to aid the control measure that is implemented during the COVID-19 in Taiwan. As the virus spreads rapidly throughout the world, the Taiwanese government imposed three restrictions that help Taiwan to control the spread immediately. One of the restrictions that they imposed is to always wear a face mask. To avoid economic breakdown and still consider the general health of the public, Taiwan limits mass gatherings like in the food industry, entertainment, public transport, religious activities, etc. To be able to increase health security during a mass gathering, we developed an AI software to be able to detect people who are properly wearing a face mask, improperly wearing, and not wearing at all. The data that we used is from Kaggle to be able to use and process the data during image recognition, we use a raspberry pi board and camera. With the algorithm we used; we came up with an outstanding system where we could present excellent results due to the detection accuracy.

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References

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Correspondence to Yung-Hao Wong .

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Jarquin, C.A., De Leon, R.C., Wong, YH. (2022). COVID-19 AI Inspector. In: Fui-Hoon Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2022. Lecture Notes in Computer Science, vol 13327. Springer, Cham. https://doi.org/10.1007/978-3-031-05544-7_4

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  • DOI: https://doi.org/10.1007/978-3-031-05544-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05543-0

  • Online ISBN: 978-3-031-05544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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