Title :
Special shaped softgel inspection system based on machine vision
Author :
Shunjie Zheng;Wei Zhang;Lei Wang;Shan He
Author_Institution :
School of Physics and Mechanical & Electrical Engineering of Xiamen University, Xiamen, 361005, China
Abstract :
A machine vision system for special shaped softgel inspection is proposed in this paper, which is composed of a pair of CMOS cameras and a diffuse blue illuminator. Because the flaws appear in softgel shells edge is difficult to detect, these two cameras are arranged symmetrically upon softgels with a certain angle to avoid blind area. An image segment method combined automatic threshold and edge detection is proposed to extract the outer contour of softgels. The internal flaws can be detected by dynamic threshold and morphological feature analysis. The experiments shows that the flaws in fish oil softgels such as missing pill, excess pill, abnormal pill, bubbles, black spots and rubber defects can be detected successfully, and the encapsulating line is distinguished from those defects. The resolution of detection is smaller than 0.1mm and the detection accuracy is about 99.9%.
Keywords :
"Image edge detection","Cameras","Machine vision","Inspection","Image segmentation","Feature extraction"
Conference_Titel :
Anti-counterfeiting, Security, and Identification (ASID), 2015 IEEE 9th International Conference on
Print_ISBN :
978-1-4673-7139-1
Electronic_ISBN :
2163-5056
DOI :
10.1109/ICASID.2015.7405675