Active Passive Hybrid Binocular Intelligent Detection System for New Energy Batteries

Author:

Meng Zhu1,Qianqian Shao2

Affiliation:

1. Nanjing Nanxuan Lihe Information Technology R&D Co,Nanjing,China

2. Nanjing University Of Chinese Medicine,School of Artificial Intelligence and Information Technology,Nanjing,China

Publisher

IEEE

Reference11 articles.

1. Development direction and trend of power battery detection and evaluation system[J];Jin;Foreign Electronic Measurement Technology,2022

2. Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries

3. Laser Marking Process of High-Gray Two-Dimensional Code on Aluminum Alloy Surface[J];Yu;Laser & Optoelectronics Progress,2021

4. High-accuracy calibration of line-structured light vision sensor by correction of image deviation

5. Research on the key technology of robotic abrasive belt grinding of compressor blade (in Chinese);Xu,2019

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