| Item type |
Symposium(1) |
| 公開日 |
2020-10-19 |
| タイトル |
|
|
タイトル |
Thermal Image Human Thermometer and Its Privacy Protection with Raspberry Pi |
| タイトル |
|
|
言語 |
en |
|
タイトル |
Thermal Image Human Thermometer and Its Privacy Protection with Raspberry Pi |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Non-contact temperature detection，Raspberry Pi，Thermal imaging，Searchable encryption |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者所属 |
|
|
|
Graduate School of Natural Science and Technology, Okayama University |
| 著者所属 |
|
|
|
Graduate School of Natural Science and Technology, Okayama University |
| 著者所属 |
|
|
|
Graduate School of Natural Science and Technology, Okayama University |
| 著者所属 |
|
|
|
Graduate School of Natural Science and Technology, Okayama University |
| 著者所属(英) |
|
|
|
en |
|
|
Graduate School of Natural Science and Technology, Okayama University |
| 著者所属(英) |
|
|
|
en |
|
|
Graduate School of Natural Science and Technology, Okayama University |
| 著者所属(英) |
|
|
|
en |
|
|
Graduate School of Natural Science and Technology, Okayama University |
| 著者所属(英) |
|
|
|
en |
|
|
Graduate School of Natural Science and Technology, Okayama University |
| 著者名 |
Yuan, Yang
Yuta, Kodera
Takuya, Kusaka
Yasuyuki, Nogami
|
| 著者名(英) |
Yuan, Yang
Yuta, Kodera
Takuya, Kusaka
Yasuyuki, Nogami
|
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
From December 30th, 2019, the novel coronavirus exploded in Wuhan, China. It is believed that body temperature detection is required for the suspected infectors. However, if one uses a thermometer touching the skin of others, cross infection may occur. In terms of hygiene, it is considered that a non-contact temperature detection is necessary. In this study, we developed an attendance record application to detect body temperature within 2 meters which based on Raspberry Pi, infrared sensor MLX90640 and ultrasonic distance sensor HC-SR04. From a data security perspective, we have to protect the privacy of the detected person. Therefore, we used searchable encryption technology to encrypt the detected person's photo, time, and body temperature. As a result, we can detect people's temperature and get the measurement error rate is below 1% within 2 meters distance without a mask. And personal data in the server can also be protected by searchable encryption. |
| 書誌情報 |
コンピュータセキュリティシンポジウム2020論文集
p. 384-388,
発行日 2020-10-19
|
| 出版者 |
|
|
言語 |
ja |
|
出版者 |
情報処理学会 |
IPSJCSS2020053.pdf (1.5 MB)
