Internal Control Automatic Physical Distance Detection System for Patient Care against a Possible COVID-19 Infection within a Health Center

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Published: May 4, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i4.6377
Keywords:
Centroids, COVID-19, Image processing, Python, Peru, WHO

Main Article Content

Yrene Uribe-Hernandez
Facultad de Ciencias Empresariales, Universidad Nacional de Cañete, Lima, Peru
Marilu Polo-Nicacio
Facultad de Ciencias Empresariales, Universidad Nacional de Cañete, Lima, Peru
Astrid Cardenas-Solis
Facultad de Ciencias Empresariales, Universidad Nacional de Cañete, Lima, Peru
Alex Pacheco-Pumaleque
Facultad de Ciencias Empresariales, Universidad Nacional de Cañete, Lima, Peru

Abstract

Currently, COVID-19 is still present in our environment, affecting various people regardless of age. From its appearance in the city of Wuhan (China), it caused a crisis in the health system due to its rapid transmission of contagion and the lack of medicines to combat this virus, therefore, it was declared a pandemic, due to the high mortality rate that occurred around the world. To combat this viral disease, various biosecurity measures were established such as the mandatory use of a face mask and physical distancing at least 1 meter, with physical distancing being the biosecurity measure that is not respected, worse in closed places such as medical centers where a focus of contagion could originate for various patients. By respecting physical distancing, it would avoid causing a crowd that would cause disorder in the health center, therefore, it is important to maintain distancing to avoid the spread of COVID-19. In view of this problem, in this article an automatic physical distance detection system was carried out for patient care in the face of a possible COVID-19 infection within a health center, enforcing this important biosecurity measure and preventing the spread of COVID-19. Through the development of the proposed system, 98.79% efficiency was obtained in calculating the physical distancing of patients who are inside the health center, taking only 40 seconds to analyze the images of the patients.

Article Details

How to Cite
Uribe-Hernandez, Y. ., Polo-Nicacio, M. ., Cardenas-Solis, A. ., & Pacheco-Pumaleque, A. . (2023). Internal Control Automatic Physical Distance Detection System for Patient Care against a Possible COVID-19 Infection within a Health Center. International Journal on Recent and Innovation Trends in Computing and Communication, 11(4), 25–32. https://doi.org/10.17762/ijritcc.v11i4.6377
Issue
Vol. 11 No. 4 (2023): April (2023) Issue
Section
Articles

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