Research and design of inspection of LR6 battery negative surface scratches online defects based on computer vision

Author

Kunyan Li ; Tian Dan

Author_Institution

Res. Inst. of Electron. Sci. & Technol., UESTC, Chengdu, China

Volume

2

fYear

2013

fDate

15-17 Nov. 2013

Firstpage

120

Lastpage

123

Abstract

According to the scratch defection of battery is caused by the manufacturing process and other causal factors during product, the paper proposes a method for battery surface defects detection based on machine vision. In order to obtain high-quality picture of the battery, the detection system using CMOS industrial cameras, and ring light source is designed and used; with the use of segmentation algorithm based on Canny edge defects, surface defects on the surface of battery cathode, and the scratch defection is defected through the calculation of scratch defects. It is found that the method of using a ring light source for imaging the battery cathode and through the scratch defect segmentation and extraction, the scratch defect Inspection is realized better.

Keywords

computer vision; electrochemical electrodes; image segmentation; inspection; primary cells; CMOS industrial cameras; Canny edge defects; LR6 battery negative surface scratches online defects; battery cathode; computer vision; detection system; machine vision; manufacturing process; ring light source; scratch defect Inspection; scratch defect segmentation; scratch defection; scratch defects calculation; segmentation algorithm; surface defects; Algorithm design and analysis; Batteries; Cameras; Inspection; Light sources; Machine vision; Surface treatment;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems (ICCCAS), 2013 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-3050-0

Type

conf

DOI

10.1109/ICCCAS.2013.6765299

Filename

6765299