Hartanto, Muhammad Rifki and Rusyadi, Rusman (2021) Application of Face Mask Recognition and Body Temperature Sensor for Attendance Machine. Bachelor thesis, Swiss German University.
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Abstract
Technology is growing in unpredictable ways and taking over daily tasks that require human action. This project started because of a pandemic situation from the COVID 19 virus and the government rules to check every person's health to anticipate the virus is impacting other people. This project will use yolov4, anaconda, python, and OpenCV to check if some individual did not use a mask or if the person has a body temperature above 37 degree Celsius. This thesis will involve simulation to analyses whether a smart system can be used against the COVID-19 pandemic.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Uncontrolled Keywords: | COVID-19, Darknet, Mask Recognition, Open CV, YOLO |
| Subjects: | Q Science > QC Physics > QC271 Temperature measurements T Technology > TA Engineering (General). Civil engineering (General) > TA1653 Human face recognition (Computer science) T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics |
| Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
| Depositing User: | Faisal Ifzaldi |
| Date Deposited: | 24 Dec 2021 10:07 |
| Last Modified: | 24 Dec 2021 10:07 |
| URI: | http://repository.sgu.ac.id/id/eprint/2222 |
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