TY - GEN
T1 - Late Breaking Report-Development of a mobile robot for industrial plants inspections using computer vision
AU - Hilario, Javier
AU - Balbuena, Jose
AU - Penaloza, Christian
AU - Hernandez-Carmona, David
AU - Quiroz, Diego
AU - Ramirez, Jorge
AU - Cuellar, Francisco
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
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 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85073449355&partnerID=8YFLogxK
U2 - 10.1109/SSRR.2019.8848933
DO - 10.1109/SSRR.2019.8848933
M3 - Conference contribution
AN - SCOPUS:85073449355
T3 - 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019
SP - 108
EP - 109
BT - 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2019
Y2 - 2 September 2019 through 4 September 2019
ER -
