Design of a cartesian robot for body temperature measurement And facial mask detection using infrared sensors and artificial vision to prevent the spread of covid-19

Authors

DOI:

https://doi.org/10.31381/perfiles_ingenieria.v17i17.4580

Keywords:

Cartesian robot, computer vision, neural network, Covid-19

Abstract

The objective of this project was to design a one-axis Cartesian robot for body temperature measurement and face mask detection as part of the access control protocol for people in shopping centers in Lima, Peru. The Cartesian robot was designed using SolidWork software and simulated using CoppeliaSim, it measures body temperature using an infrared sensor and detects the presence of a mask using a GOPRO Hero 7 Black camera and a convolutional neural network. Through test 1, the operation of the mask detection system was verified, obtaining the label “With_Mascarilla” when the person is wearing one. In test 2, the displacement of the infrared sensor and the body temperature measurement were simulated, obtaining a green light for a measurement in the normal range of 36 ° to 37.5 °. In test 3, the operation of the robot at the entrance of the shopping center was simulated. The final stage of the project includes its implementation and validation through a voice alarm system.

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Author Biography

Ricardo John Palomares Orihuela, Universidad Ricardo Palma, Lima, Perú.

Professor at the Professional School of Mechatronic Engineering at Ricardo Palma University. Mechatronic Engineer from the National University of Engineering, PhD in Educational Sciences, Master in Educational Sciences with a major in University Teaching and Master in Electronic Sciences with a major in Biomedical Engineering. Senior Member IEEE. Professional Member of RAS, EMBS, ComSoc and EduSoc - IEEE. RENACYT Researcher – Level V

References

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Published

2021-12-31

How to Cite

Gutiérrez Sánchez, S., Hernández Valladares, M., Magallanes Chauca, D., & Palomares Orihuela, R. J. (2021). Design of a cartesian robot for body temperature measurement And facial mask detection using infrared sensors and artificial vision to prevent the spread of covid-19. Engineering Profiles, 17(17). https://doi.org/10.31381/perfiles_ingenieria.v17i17.4580

Issue

Vol. 17 No. 17 (2021): Perfiles de Ingeniería

Section

Ingeniería Mecatrónica

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