Binocular Stereo Vision Measurement System with Novel Edge-Enhancement Feature Algorithm for Electric Vehicle Battery Modules

CSME 2025/12
Volume 46 No.6 : 569-577

Binocular Stereo Vision Measurement System with Novel Edge-Enhancement Feature Algorithm for Electric Vehicle Battery Modules

Shu-Zhe Chen ^a, Wei-Hong Lim ^a, Chien-Sheng Liu ^b, Hua-Bin Lee ^c, Chien-Jung Liao ^c and Ming-Fu Chen ^d
^aGraduate Student, Department of Mechanical Engineering, National Cheng Kung University, Tainan 70101, Taiwan, ROC
^bProfessor, Department of Mechanical Engineering, National Cheng Kung University, Tainan 70101, Taiwan, ROC.; Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Tainan 70101, Taiwan, ROC.
^cYulon Motors Co., Ltd., Miaoli County, Taiwan, ROC.
^dNational Center for Instrumentation Research, National lnstitutes of Applied Research, Hsinchu, Taiwan, ROC.

Abstract: In this study, a binocular stereo vision measure¬ment system with novel edge-enhancement feature algorithm is proposed for the electrode circular hole array position in electric vehicle battery modules. A simulated workpiece of the electrode circular hole array in an electric vehicle battery module has been created for testing. The proposed system combines image processing techniques with a novel edge-enhancement feature algorithm to identify the features of circular hole arrays in the workpiece and performs three-dimensional point coordinates reconstruction of the feature centers. The proposed system is capable of measuring at a distance of 215 mm from the workpiece and has a measurement range of 450 mm × 200 mm, size of electric vehicle battery modules, which can be increased by using stitching process. The experimental results show that 3D points with a measuring accuracy of 0.1 mm and measuring repeatability of 0.03 mm can be achieved.

Keywords: Binocular stereo vision, High-precision 3D measurement, Localization error, Image processing, 3D scanning.

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