Disciplines
Other Computer Sciences
Publication Date
2023
Document Type
Article
DOI
10.25778/ke9d-se69
Abstract
Object detection was introduced by researchers for face detection. Researchers explain how the detected face is divided into minor frames to be recognized by the algorithm. Due to COVID-19 and government regulations, many people face problems going to shopping centers and shop safely. It has been very hard for both the government and the people to manage social distancing. In our study, we developed a system using Raspberry Pi-4 that will detect the distance between people along with counting the number of distance and mask violations. An error message will appear on the screen in red, showing the total number of distance and mask violations, which could later be used by the customer as statistical evidence for better safety precautions.
Recommended Citation
Ibrahim, Mustafa; Zeineldin, Aly M.; Khan, Yameen; Elmesalami, Ayman; and Ibrahim, Soad
(2023)
"COVID-19 Crowd Detection,"
OUR Journal: ODU Undergraduate Research Journal: Vol. 10, Article 7.
DOI: 10.25778/ke9d-se69
Available at:
https://digitalcommons.odu.edu/ourj/vol10/iss1/7
