赤外線アレイセンサGrid-EYEを用いた体温の遠隔検出

小澤, 芽生, 姜, 有宣, Ozawa, Mebae, Kang, Yousun

書誌事項

タイトル別名

Remote Detection of Body Temperature Using Infrared Array Sensor Grid-EYE

説明

Recently physical and health conditions in everyday life have very important significance for COVID-19. Temperature is an important indicator that can reflect the pathophysiological state of the human body. The far-infrared thermal image can represent human body surface temperature. This paper presents remote detection of body temperature using an infrared array sensor, Grid-EYE. Object detection was implemented with a Convolutional Neural Network (CNN) based on the You Only Look Once (YOLO) model. Using Grid-EYE, we can notice fever of humans, dogs, and cats. The experiment results showed that the proposed system is utilized in indoor remote monitoring system to detect heat stroke in a room.

収録刊行物

東京工芸大学工学部紀要

東京工芸大学工学部紀要 44 (1), 21-25, 2021-06-30

東京工芸大学工学部

キーワード

詳細情報詳細情報について

CRID: 1050570078072639104

NII論文ID: 120007098476

ISSN: 03876055

Web Site: https://kougei.repo.nii.ac.jp/records/2122

本文言語コード: ja

資料種別: departmental bulletin paper

データソース種別

IRDB
CiNii Articles

書き出し

問題の指摘