Development of automated premise check-in with simultaneous temperature checker system using Raspberry Pi

Charishun, Huzaimah (2021) Development of automated premise check-in with simultaneous temperature checker system using Raspberry Pi. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, the existence of dangerous diseases that can be spread in various way such as physical contact, air vapour and air from coughing and sneezing such as Covid-19, MERS, SARS and Ebola is currently of great concern. Patient that carried this disease will have symptoms such as fever above normal temperature that is 37.5 ͦC, cough, dry throat and difficulty breathing. However this disease can be prevented by monitoring human body temperature. To resolve this issue, various methods have been implemented such as 1 meter social distancing, self-check in and even body temperature checking before entering a premise. Nevertheless, the implementation of the premise check-in and the temperature inspection that has been carried out are separate. This matter caused difficulty for the authorities to track users who have high body temperature symptoms because there is no temperature reading recorded and only user information and the name of the premise visited. To solve this problem, the development of an automated premise check-in system with simultaneous temperature checking using Raspberry Pi was carried out. The usage of pen while manually registering during the check-in process at a premise were about to be eliminated. In addition, the functional monitoring of the combined automatic premise check-in system and the temperature inspection device should function simultaneously. The system will use an open source software, Kodular application as the basic of the android application maker that could generate QR code of user information so that user can use on their smartphone and Firebase as the database platform that will store the information obtained from the Raspberry Pi and Android application. This system will detect user’s face at the monitor by using Raspberry Pi camera that attached with the Raspberry Pi as microcontroller and when it successfully detected the face it will scanning temperature of face by using AMG8833 IR thermal camera sensor that was also used together with the Raspberry Pi controller. Next user need to show the QR code that have been generated in the Android application before. In conclusion, with the existence of this project is able to help to prevent and reduce the spread of infectious diseases.

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