Pemantauan Physical Distance Pada Area Publik Menggunakan YOLO
Tiny V3

Pemantauan Physical Distance Pada Area Publik Menggunakan YOLO
Tiny V3

: Coronavirus, Covid-19, You Only Look Once, YOLO Tiny V3

Coronavirus disease in 2019 (Covid-19) is a phenomenon that become to the world concern because almost all countries
experience the outbreak. One of attention to preventing the spread of Covid-19 is the physical distance in public areas. This
study proposes human detection in public spaces by using image processing. The application of physical distance is intended
to monitor the distance between people in public places. In this study, a human detection system is done by using the YOLO
Tiny V3 method and the Euclidean algorithm to be developed to detect distances between humans. There are several stages in
the research process: data collection, data preprocessing, data training, and physical distance detection. The system that has
been designed can detect by getting an accuracy result of 78.43% for detecting human objects and an accuracy result of 87.82%
for detecting distances between humans.

Mohammad Chasrun Hasani1
, Fadhila Milenasari2
, Novendra Setyawan3*

Universitas Muhammadiyah Malang

27-02-2022

Fajar bagus W

PDF

Indonesia

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