2022年第83回応用物理学会秋季学術講演会

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一般セッション(口頭講演)

CS コードシェアセッション » 【CS.2】 3.2 情報フォトニクス・画像工学(旧3.3)、4.4 Information Photonicsのコードシェア

[20p-C205-1~12] CS.2 3.2 情報フォトニクス・画像工学(旧3.3)、4.4 Information Photonicsのコードシェア

2022年9月20日(火) 13:30 〜 17:15 C205 (C205)

鈴木 裕之(群馬大)、全 香玉(神大)

14:30 〜 14:45

[20p-C205-4] Automatic door locking and hand sanitization system based on face mask detection

〇(B)PRIYANKA M1、Dakshitha M1、Bhukya Manichandana1、Vikram Palodiya1、Syed Jahangir Badashah1 (1.DEPT. OF ECE, SNIST, Hyderabad, INDIA)

キーワード:Face mask detection, hand sanitization, sensor

COVID-19 has brought about various changes in everyone's lives. Wearing a mask is an important step in preventing virus spread. Despite the fact that many people are still not taking the necessary precautions. It has been difficult to manually identify people who are not wearing masks in public places. This system would be extremely useful in airports, railway stations, colleges, schools, and other public places. Using a deep learning algorithm, the system detects whether or not a person is wearing a mask. For mask detection, the CNN deep learning algorithm is used. The person is only allowed into the room if the face mask is detected by the automatic door locking system. The permitted person should then sanitize their hands using an automatic hand sanitization system based on an Arduino and an ultrasonic sensor. As a result, the system provides a completely automated system for preventing the spread of COVID-19.