TY - GEN
T1 - Development of a Mobile Robot for Inspection of Analog Gauges in Industrial Plants Using Computer Vision
AU - Hilario, Javier
AU - Penaloza, Christian
AU - Hernandez-Carmona, David
AU - Balbuena, Jose
AU - Quiroz, Diego
AU - Ramirez, Jorge
AU - Cuellar, Francisco
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - 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 access and dangerous places, for this reason is necessary a system that can achieve this task without direct human intervention. In this paper, a teleoperated robotic system with computer vision capabilities is proposed; the robotic system is comprised by a mobile platform and a robotic arm equipped with a camera system. 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.
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 access and dangerous places, for this reason is necessary a system that can achieve this task without direct human intervention. In this paper, a teleoperated robotic system with computer vision capabilities is proposed; the robotic system is comprised by a mobile platform and a robotic arm equipped with a camera system. 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.
UR - http://www.scopus.com/inward/record.url?scp=85085865036&partnerID=8YFLogxK
U2 - 10.1109/CIS-RAM47153.2019.9095800
DO - 10.1109/CIS-RAM47153.2019.9095800
M3 - Conference contribution
AN - SCOPUS:85085865036
T3 - Proceedings of the IEEE 2019 9th International Conference on Cybernetics and Intelligent Systems and Robotics, Automation and Mechatronics, CIS and RAM 2019
SP - 209
EP - 214
BT - Proceedings of the IEEE 2019 9th International Conference on Cybernetics and Intelligent Systems and Robotics, Automation and Mechatronics, CIS and RAM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Cybernetics and Intelligent Systems and Robotics, Automation and Mechatronics, CIS and RAM 2019
Y2 - 18 November 2019 through 20 November 2019
ER -
