Sistem Deteksi Pelanggaran Protokol Kesehatan (Masker Dan Physical Distancing) Menggunakan Single Board Computer

Hariyanto, Moh. Daffa Abyansyah (2021) Sistem Deteksi Pelanggaran Protokol Kesehatan (Masker Dan Physical Distancing) Menggunakan Single Board Computer. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

Text 10511710000007-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 April 2024. Download (1MB) | Request a copy

Abstract

Masa pandemi COVID-19 menjadi peraturan wajib menggunakan masker dan melakukan physical distancing pada saat keluar rumah. Yang merupakan sebuah kebiasaan baru yang telah ditetapkan oleh pemerintah. Agar kebiasaan disiplin menggunakan masker di tempat umum ini dapat berjalan dengan baik, maka dibuatlah sistem deteksi pelanggaran protokol kesehatan (masker dan physical distancing) menggunakan single board computer. Beberapa cara yang dilakukan untuk mendeteksi pelanggaran salah satunya dengan menampilkan video pengawasan dalam sebuah server web secara real-time, ada juga dengan deteksi gerak menggunakan webcam dengan metode background subtraction. Sistem yang dibangun mampu mendeteksi objek ditampilkan pada display LCD, contoh lain dilakukan sistem pengawasan menggunakan kamera Raspberry pi. Data kemunculan objek divisualisasikan ke dalam grafik yang mudah dibaca oleh pengguna. Pengambilan data objek dilakukan menggunakan kamera yang terhubung ke sebuah Single Board Computer (SBC) untuk mengolah data. Selanjutnya data yang telah diperoleh diproses dengan metode frame difference untuk dideteksi gerakannya. Video menampilkan garis region of interest (ROI) dari objek yang terdeteksi.
======================================================================================================
During the COVID-19 pandemic, it is mandatory to wear masks and carry out
physical distancing when leaving the house. Which is a new habit that has been
established by the government. In order for the disciplinary habit of using masks in
public places to run well, a health protocol violation detection system (masks and
physical distancing) was created using a single board computer. There are several
ways to detect violations, one of which is by displaying surveillance video on a web
server in real-time, there is also motion detection using a webcam with the
background subtraction method. The system built is able to detect objects and send
notifications via email, another example is a surveillance system using the
Raspberry pi camera. The data on the appearance of the object is visualized into a
graph that is easy for the user to read. Retrieval of object data is carried out using
a camera connected to a Single Board Computer (SBC) to process data.
Furthermore, the data that has been obtained is processed using the frame
difference method for motion detection. The video displays the region of interest
(ROI) line of the detected object.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Single board computer, region of interest, Raspberry pi
Subjects:	T Technology > T Technology (General) > T57.62 Simulation T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques T Technology > TA Engineering (General). Civil engineering (General) > TA593.35 Instruments, cameras, etc. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Moh. Daffa Abyanyah Hariyanto
Date Deposited:	23 Feb 2022 21:35
Last Modified:	23 Feb 2022 21:35
URI:	http://repository.its.ac.id/id/eprint/94740

Actions (login required)

View Item