Social Distancing Detection By Drone Exploration : A novel thermal images analysis model

Ruth de Jesus Ramirez Rejas; Ricardo  Linares Juarez; Hugo Manuel Barraza Vizcarra; Edgar Taya Acosta

doi:10.37467/revtechno.v11.3323

Authors

Ruth de Jesus Ramirez Rejas Universidad Nacional Jorge Basadre Grohmann https://orcid.org/0000-0002-8956-3357
Ricardo Linares Juarez Universidad Nacional Jorge Basadre Grohmann https://orcid.org/0000-0003-4964-6163
Hugo Manuel Barraza Vizcarra Universidad Nacional Jorge Basadre Grohmann https://orcid.org/0000-0001-5000-0250
Edgar Taya Acosta Universidad Nacional Jorge Basadre Grohmann https://orcid.org/0000-0002-1822-5414

DOI:

https://doi.org/10.37467/revtechno.v11.3323

Keywords:

Drone, Computer vision, Thermal images, Social distance, Covid19, Artificial intelligence

Abstract

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.

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Social Distancing Detection By Drone Exploration

A novel thermal images analysis model

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