Social Distancing Detection By Drone Exploration
A novel thermal images analysis model
DOI:
https://doi.org/10.37467/revtechno.v11.3323Keywords:
Drone, Computer vision, Thermal images, Social distance, Covid19, Artificial intelligenceAbstract
Facing the criticality of the COVID 19 pandemic, we propose an artificial intelligence system with a modern approach detecting people and their social distancing in crowded places using thermal images obtained from the DJI Mavic 2 Enterprise Dual drone. We implement an algorithm that analyzes two types of images: color and thermal, to measure the distance between people. We used the Fast R-CNN neural network; the images with videos were extracted from the DJI Pilot application. The objective is to identify the distance between people. The results obtained show that the proposed algorithm is suitable for monitoring the city.
References
Angulo, Y., Solis, G., Cardenas, F., Jorge, A., Acosta, J., & Cabezas, C. (2021). Household transmission of SARS-CoV-2 (COVID-19) in Lima, Peru. Cadernos de Saude Publica, 37(3), 1–15. https://doi.org/10.1590/0102-311X00238720
Atoche, M. A. (2020). Estudio del diseño de un sistema electrónico para detectar a personas con fiebre mediante el uso de una cámara térmica [Trabajo de investigación]. Pontificia Universidad Católica del Perú.
Beltrán, R., & Álvarez, F. (2020). Drones Inteligentes Autónomos Como Herramienta Para La Contención De La Pandemia Provocada Por Sars-Cov-2. Eiei.
Cabanillas, W. (2020). Conducta y propagación del covid-19 en el Perú: Marco de referencia para el diseño de intervenciones conductuales de salud pública. Scielo, June, 1. https://preprints.scielo.org/index.php/scielo/preprint/view/868
Canals, M. (2020). Conceptos para una buena toma de decisiones en la pandemia COVID-19 en Chile. Revista Chilena de Infectologá, 37, 170–172.
Ciotti, M., Ciccozzi, M., Terrinoni, A., Jiang, W. C., Wang, C. Bin, & Bernardini, S. (2020). The COVID-19 pandemic. Critical Reviews in Clinical Laboratory Sciences, 57(6), 365–388. https://doi.org/10.1080/10408363.2020.1783198
Díaz, J. E. (2021). Letalidad por SARS-COV-2 a nivel mundial. Estudio de La Vacunación Contra El COVID-19 a Nivel de América, 30, 41–45.
DJI. (2020). SERIE MAVIC 2 ENTERPRISE Manual de usuario.
Fernández, J. R. H. (2021). Impacto económico y social de la COVID-19 en el Perú. Revista de Ciencia e Investigación En Defensa-CAEN, 2(1), 31–42.
Garcia, E. E., & Sanchez, L. M. (2022). Efectividad de las medidas de distanciamiento social, en el contexto de la pandemia por COVID-19. https://doi.org/10.4321/repisalud.14665
Girshick, R. (2015). Fast R-CNN. Proceedings of the IEEE International Conference on Computer Vision, 2015 Inter, 1440–1448. https://doi.org/10.1109/ICCV.2015.169
Girshick, R., Donahue, J., Darrell, T., Malik, J., Berkeley, U. C., & Malik, J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 5000. https://doi.org/10.1109/CVPR.2014.81
Gutiérrez, J. W. (2021). La pandemia de la COVID-19 en el Perú: análisis epidemiológico de la primera ola. Revista de La Sociedad Peruana de Medicina Interna, 34(2), 51–52. https://doi.org/10.36393/spmi.v34i2.595
Huamani, N. B., Arotoma, M. N., Gavilán, J. O., Quiroz, P. L., & Medrano, M. L. (2020). Casos confirmados y mortalidad por COVID-19 en Sudamérica: un análisis comparativo por millón de habitantes. Puriq, 2(3).
Jiménez, J. E., & Medina, L. (2022). Implementación del sistema de control de vuelo autónomo de un dron y modelamiento de patrones de imágenes multiespectrales para detección de plagas en el cultivo de mango en Piura [Tesis]. Universidad Nacional de Piura.
Kadam, S., Seshapalli, G., Nayak, A., & Shaikh, B. A. (2021). Autonomous Drone for Social Distancing Surveillance. 2021 2nd International Conference for Emerging Technology (INCET), 1–5. https://doi.org/10.1109/INCET51464.2021.9456213
Kumar, A., Sharma, K., Singh, H., Naugriya, S. G., Gill, S. S., & Buyya, R. (2021). A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic. Future Generation Computer Systems, 115, 1–19. https://doi.org/10.1016/j.future.2020.08.046
Meivel, S., Indira Devi, K., Uma Maheswari, S., & Vijaya Menaka, J. (2022). Real time data analysis of face mask detection and social distance measurement using Matlab. Materials Today: Proceedings, xxxx. https://doi.org/10.1016/j.matpr.2020.12.1042
Merizalde, D. A., & Morillo, P. A. (2020). Desarrollo de un sistema de detección de distanciamiento social mediante algoritmos de inteligencia artificial [Tesis de posgrado]. Universidad Politécnica Salesiana.
Orihuela, E. M. (2020). Sistema aéreo de vigilancia por Drones para prevenir y disminuir el nivel de inseguridad ciudadana en el Distrito de San Martín de Porres Lima 2020. Psikologi Perkembangan, October 2013, 1–126. https://bit.ly/3LAbabm
Ramírez, M. C., & Ortega, G. (2022). Analysis of Excess All-Cause Mortality and COVID-19 Mortality in Peru: Observational Study. Tropical Medicine and Infectious Disease, 7(3). https://doi.org/10.3390/tropicalmed7030044
Restas, A. (2015). Drone Applications for Supporting Disaster Management. World Journal of Engineering and Technology, 03(03), 316–321. https://doi.org/10.4236/wjet.2015.33c047
Rodriguez, A. J., Gallego, V., Escalera, J. P., Méndez, C. A., Zambrano, L. I., Franco-Paredes, C., Suárez, J. A., Rodriguez-Enciso, H. D., Balbin-Ramon, G. J., Savio-Larriera, E., Risquez, A., & Cimerman, S. (2020). COVID-19 in Latin America: The implications of the first confirmed case in Brazil. Travel Medicine and Infectious Disease, 35(January). https://bit.ly/3xG2Fpm
Rondón, C. V., Castro, S. A., Medina, B., Guevara, D., & Gómez, J. (2020). Procesamiento a imágenes de video para verificación de distanciamiento social durante la pandemia de la COVID-19. Revista Logos, Ciencia & Tecnología, 13(1), 116–127. https://doi.org/10.22335/rlct.v13i1.1305
Saponara, S., Elhanashi, A., & Gagliardi, A. (2021). Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19. Journal of Real-Time Image Processing, 18(6), 1937–1947. https://doi.org/10.1007/s11554-021-01070-6
Strecht, P., Cruz, L., Soares, C., Mendes-Moreira, J., & Abreu, R. (2015). A Comparative Study of Classification and Regression Algorithms for Modelling Students’ Academic Performance. Proceedings of the 8th International Conference on Educational Data Mining, 392–395. http://www.educationaldatamining.org/EDM2015/proceedings/short392-395.pdf
Van, A., Eeckhout, P., & Lo Buglio, D. (2022). Crossed Experimentations of Low-Altitude Surveys for the Detection of Buried Structures. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 46(2/W1-2022), 505–512. https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-505-2022
Worldometer. (2022). COVID-19 CORONAVIRUS PANDEMIC. https://bit.ly/3y3TkYL
