DEVELOPING REAL-TIME FACE MASK DETECTION WITH FACIAL TEMPERATURE MEASURE FOR COVID-19 INDOOR MONITORING SYSTEM

Autor: Jair Minoro Abe, Ari Aharari, Kazumi Nakamatsu
Rok vydání: 2021
Předmět:
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