Title
Development of a Mobile Robot for Inspection of Analog Gauges in Industrial Plants Using Computer Vision
Date Issued
01 November 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
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 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.
Start page
209
End page
214
Language
English
OCDE Knowledge area
Ingeniería industrial
Robótica, Control automático
Scopus EID
2-s2.0-85085865036
ISBN of the container
978-172813458-1
Conference
Proceedings of the IEEE 2019 9th International Conference on Cybernetics and Intelligent Systems and Robotics, Automation and Mechatronics, CIS and RAM 2019
Sponsor(s)
ACKNOWLEDGMENT This work was granted by the 4HELIX LABS S.A.C. company which provided the means for this research, the National Fund for Scientific and Technological Development FONDECYT from CONCYTEC and Mirai Innovation Lab for the developed vision computer algorithm to measure gauges. Also, the authors are pleased to acknowledge the support of the students of the Master of Control and Automation from the Postgraduate School and the Department of Engineering at PUCP.
Sources of information:
Directorio de Producción Científica
Scopus