Open AccessA Computer Vision System Applied to The Recognition of Different Capacitors
Author(s) -
Shengye Zhu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1654/1/012033
Subject(s) - rgb color model , automation , hue , artificial intelligence , capacitor , computer vision , brightness , identification (biology) , computer science , machine vision , production line , engineering , electrical engineering , voltage , mechanical engineering , physics , botany , optics , biology
In this paper, we establish an automation system based on computer vision for the identification of capacitors with different capacitances. The images of capacitors on the industrial assembly line are obtained in real time by using a CCD industrial camera. Then, the obtained images based on RGB model are transformed into HSI color format to avoid the effect of environmental brightness. According to the calculated characteristic hue and saturation values, the established automation system could accurately and effectively identify the capacitances of the capacitors by colors. The identification results would provide accurate information for subsequent robot arm recognition, location, collection, and other operations. By applying to the industrial assembly line, this computer vision system could greatly improve the automation level and product quality of industrial production.