Open AccessTarget Detection and Correction of Micro-motor Rotor Based on HALCON
Author(s) -
Jian Wang,
WuWei Lai,
Xiaoning Chen
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 - 10.1088/1742-6596/1605/1/012024
Subject(s) - artificial intelligence , computer science , computer vision , feature (linguistics) , process (computing) , pattern recognition (psychology) , feature extraction , rotor (electric) , position (finance) , matching (statistics) , segmentation , template matching , image (mathematics) , engineering , mathematics , mechanical engineering , philosophy , linguistics , statistics , finance , economics , operating system
In order to realize the high-speed and accurate inspection and correction of the micro-motor rotor during its soldering process, an identification and measurement system based on HALCON was designed. It realizes such functions as collecting, identifying and filtering images, analyzing target deviations and correcting them. Firstly, the industrial camera is used to obtain the target image. Then the image is preprocessed, after NCC template matching, ROI extraction and feature segmentation, the accurate target features are obtained. Finally, the center coordinates of the feature area are obtained to calculate the feature position deviation, and then the upper computer controls device to correct the deviation. The results show that the system can replace the manual detection to complete features recognition and correction of the target rotor and it also improves its efficiency and accuracy of the recognition and correction, providing a new method for the recognition and correction of motors in actual production.