Andika, Diki (2021) Rancang Bangun Palang Pintu New Normal (Webcam Pendeteksi Masker). Diploma thesis, Politeknik Negeri Bengkalis.
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Abstract
he purpose of this study is to make a mask detection device to control automatic doors in the mandatory mask room, the benefits of this tool are to help prevent the spread of COVID-19 from visitors who do not use masks. Coronavirus Disease (COVID-19) is caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). COVID-19 is transmitted through people who have been infected with the virus. The disease can be spread through water droplets from the nose or mouth. Therefore, it is important to have an automation system that can detect the use of masks and check body temperature automatically to prevent people who do not use masks and have high body temperatures from being allowed to enter rooms where masks are required. From theclassification experiment using the teachable machine method, p5.js, the experimental data was 34 times. The experimental results obtained using teachable machines and p5.js, in the tests carried out by experimenting with a webcam camera connected to a laptop with different types of masks with a straight face facing forward at a distance of 40 cm60 cm has an accuracy value of 80%. At a distance of 70 cm-100 cm has an accuracy value of 60%. The average time for 1 cycle of mask detection, temperature checking, hand washing, until the doorstop closes is 43.48 seconds.
| Item Type: | Thesis (Diploma) | ||||||||
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| Uncontrolled Keywords: | Mask, COVID-19, Teachable Machine | ||||||||
| Subjects: | 410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 454 Teknik Elektronika | ||||||||
| Divisions: | Jurusan Teknik Elektro > Diploma Tiga Teknik Elektro > TUGAS AKHIR | ||||||||
| Depositing User: | D3 Teknik Elektronika | ||||||||
| Date Deposited: | 29 Oct 2021 08:31 | ||||||||
| Last Modified: | 29 Oct 2021 08:31 | ||||||||
| URI: | http://eprints.polbeng.ac.id/id/eprint/2624 |
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