Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision

Javier Hilario; Jose Balbuena; Christian Penaloza; David Hernandez-Carmona; Diego Quiroz; Jorge Ramirez; Francisco Cuellar

doi:10.1109/SSRR.2019.8848933

Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision

Javier Hilario, Jose Balbuena, Christian Penaloza, David Hernandez-Carmona, Diego Quiroz, Jorge Ramirez, Francisco Cuellar

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

Industrial accidents are a main issue for companies with capital intensive infrastructure; one way to reduce this is avoiding the employees exposure to hazardous environments that affect their physical integrity and health. Inspection of gauges and manipulation of valves are important tasks that are typically performed in all industries, these industrial components are located in hard to access and dangerous places, for this reason it is necessary a system that can achieve this task without direct human intervention. In this report, the preliminary results of a teleoperated robotic system with computer vision capabilities is presented. In addition, a vision algorithm for analog gauge measurements was tested in different gauge models and the results show that a 1% error was achieved in less than 1 second.

Idioma original	Inglés
Título de la publicación alojada	2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	108-109
Número de páginas	2
ISBN (versión digital)	9781728107783
DOI	https://doi.org/10.1109/SSRR.2019.8848933
Estado	Publicada - set. 2019
Evento	2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019 - Wurzburg, Alemania Duración: 2 set. 2019 → 4 set. 2019

Serie de la publicación

Nombre	2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019

Conferencia

Conferencia	2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019
País/Territorio	Alemania
Ciudad	Wurzburg
Período	2/09/19 → 4/09/19

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/SSRR.2019.8848933

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Hilario, J., Balbuena, J., Penaloza, C., Hernandez-Carmona, D., Quiroz, D., Ramirez, J., & Cuellar, F. (2019). Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision. En 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019 (pp. 108-109). Artículo 8848933 (2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSRR.2019.8848933

Hilario, Javier ; Balbuena, Jose ; Penaloza, Christian et al. / Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision. 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 108-109 (2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019).

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title = "Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision",

abstract = "Industrial accidents are a main issue for companies with capital intensive infrastructure; one way to reduce this is avoiding the employees exposure to hazardous environments that affect their physical integrity and health. Inspection of gauges and manipulation of valves are important tasks that are typically performed in all industries, these industrial components are located in hard to access and dangerous places, for this reason it is necessary a system that can achieve this task without direct human intervention. In this report, the preliminary results of a teleoperated robotic system with computer vision capabilities is presented. In addition, a vision algorithm for analog gauge measurements was tested in different gauge models and the results show that a 1% error was achieved in less than 1 second.",

author = "Javier Hilario and Jose Balbuena and Christian Penaloza and David Hernandez-Carmona and Diego Quiroz and Jorge Ramirez and Francisco Cuellar",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019 ; Conference date: 02-09-2019 Through 04-09-2019",

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Hilario, J, Balbuena, J, Penaloza, C, Hernandez-Carmona, D, Quiroz, D, Ramirez, J & Cuellar, F 2019, Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision. En 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019., 8848933, 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019, Institute of Electrical and Electronics Engineers Inc., pp. 108-109, 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019, Wurzburg, Alemania, 2/09/19. https://doi.org/10.1109/SSRR.2019.8848933

Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision. / Hilario, Javier; Balbuena, Jose; Penaloza, Christian et al.
2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 108-109 8848933 (2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AB - Industrial accidents are a main issue for companies with capital intensive infrastructure; one way to reduce this is avoiding the employees exposure to hazardous environments that affect their physical integrity and health. Inspection of gauges and manipulation of valves are important tasks that are typically performed in all industries, these industrial components are located in hard to access and dangerous places, for this reason it is necessary a system that can achieve this task without direct human intervention. In this report, the preliminary results of a teleoperated robotic system with computer vision capabilities is presented. In addition, a vision algorithm for analog gauge measurements was tested in different gauge models and the results show that a 1% error was achieved in less than 1 second.

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Hilario J, Balbuena J, Penaloza C, Hernandez-Carmona D, Quiroz D, Ramirez J et al. Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision. En 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 108-109. 8848933. (2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019). doi: 10.1109/SSRR.2019.8848933

Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision

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