학술논문

Application of Image Processing and Industrial Robot Arm for Quality Assurance Process of Production
Document Type
Conference
Source
2020 IEEE Region 10 Symposium (TENSYMP) Region 10 Symposium (TENSYMP), 2020 IEEE. :526-530 Jun, 2020
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Robots
Robot kinematics
Image processing
Image color analysis
Service robots
Tools
Quality assurance
Quality Assurance
OpenCV
Industrial Robot
IRB 120
Language
ISSN
2642-6102
Abstract
Recently, in the new era of highly developed technology, image processing is becoming a more efficient and required sector in the industry, enterprise, monitoring, and other various systems. All these applications lead us to research the image processing techniques in the quality assurance process of production with an ABB IRB 120 industrial robot arm. There are numerous types of image processing methods that are used in the quality assurance process of products. Hence, in our experiment, we attempted to distinguish the normal and abnormal products, which are replaced by 3D objects using the image processing system and ABB industrial robot arm. Therefore, we used the OpenCV library to enhance our image processing system. This paper presents the combination work of image processing methods and usages with modeling the end-effector of ABB IRB 120 industrial robot, their programming and experimental results.