Autor: |
Jair Minoro Abe, Ari Aharari, Kazumi Nakamatsu |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Journal of Computer Science and Cybernetics. 37:279-289 |
ISSN: |
1813-9663 |
DOI: |
10.15625/1813-9663/37/3/15962 |
Popis: |
The coronavirus (COVID-19) is the latest pandemic that hit human health in 2019. Wear a face mask in public areas to decrease the spread of the coronavirus. This work presents real-time face mask detection with facial temperature measures for the COVID-19 indoor monitoring system. Detecting people using ultrasonic sensors, face mask detection, and facial temperature measure using Grid-Eye Sensor are three modules applied in the proposed system. We also evaluated the proposed monitoring system in the real environment and confirmed the accuracy of 98.8% of mask detection. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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