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Secure Entrance for Covid-19
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1714035
ABSTRACT
A COVID19 indoor safety solution that is based on IOT covers a few relevant aspects. Detection of masks and social distance, by contactless temperature sensing. By using computer vision techniques known as image processing on camera-equipped raspberry pi, Contactless Temperature Sensor relieves need for infrared sensors or thermal cameras, while Distancing Check and Mask Detection are achieved using a camera-equipped Raspberry Pi. We use an IoT-based system to promote compliance with COVID19 safety guidelines and rules and focuses people with high body temperatures stay at home most of the time because of common indoor measures, wearing masks and keeping the distance between people working no more than 1.5-2 meters. Based on the small dimensions, computer with a camera built into the Raspberry Pi has a sensors that measure temperature without contact. This device is chosen due to its affordability and small size. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2021 Year: 2021 Document Type: Article