Deep learning based mask detection in smart home entries during the epidemic process

Küçük Resim Yok

Tarih

2020

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

International Society for Photogrammetry and Remote Sensing

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

In this study, "smart home" systems were designed against Covid-19 virus, which negatively affects life all over the world, and viruses that may become epidemics later. Our homes need to be more hygienic and safe than yesterday. One of these hygiene rules is the masks that cover our nose and mouth. It is very important to use a mask to prevent further spread of the virus. Whether or not the people in smart homes are wearing masks at home will be diagnosed with the deep learning method. Hosts will be warned if they do not have masks. Brightness level control card and illuminator have been added to smart home entrances to better identify people's faces. With PID, the illumination level is fixed at the desired value, and with IOT technology, people can follow the illumination level at the smart home entrance from the mobile application. © 2020 International Society for Photogrammetry and Remote Sensing. All rights reserved.

Açıklama

5th International Conference on Smart City Applications, SCA 2020 -- 7 October 2020 through 8 October 2020 -- Safranbolu -- 167323

Anahtar Kelimeler

Artificial Intelligence, Deep Learning, IOT, Mobile Application, PID, Smart Home

Kaynak

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

WoS Q Değeri

Scopus Q Değeri

N/A

Cilt

44

Sayı

4/W3

Künye