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A Lightweight Multiscale Attention Semantic Segmentation Algorithm for Detecting Laser Welding Defects on Safety Vent of Power Battery

IEEE access : practical research, open solutions, v.9, 2021년, pp.39245 - 39254  

Zhu, Yishuang (Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China) ,  Yang, Runze (Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China) ,  He, Yuqing (Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China) ,  Ma, Junxian (Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China) ,  Guo, Haolin (Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China) ,  Yang, Yatao (Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China) ,  Zhang, Li (Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China)

Abstract AI-Helper 아이콘AI-Helper

At present, in order to improve the safety performance of power battery, a safety vent is welded on the battery cover to avoid unpredictable explosions. It is vital to detect the laser welding defects on safety vent effectively for product quality. In this paper, a lightweight multiscale attention s...

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