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Vision AI for
EV Manufacturing

  Ensuring the quality assurance and stability of EV batteries is a key competitive factor for manufacturers. Therefore, 3D In-Line inspection techniques, which inspect the internal components of products during the manufacturing process, are being introduced.
  In the field of 3D In-Line inspection, deep learning-based data processing techniques such as denoising and Super-Resolution (SR), as well as models for detecting or classifying internal defects within battery cells, are being applied.

Use Cases

EV Battery Cell Defect(Segmentation) and Post Processing model for assessing the defect scale

More
Issues and
Needs to Address
  • A decreased Takt Time for data collection in In-Line inspection processes results in lower data quality.
  • The technology required to classify various types of defects in battery packs or track the location of defects is essential.
  • The technology required for quantitatively analyzing the degree of bending of electrodes is crucial for assessing the extent of defects in batteries.
Solutions and
Applied Technologies
  • Applied SNUAILAB Image Restoration Network (SIRNet).
  • Applied SNUAILAB Inspection Network (SINNet) to support the identification of defects and their location in images for battery cell data training.
  • Developed a Post Processing Model for quantitatively analyzing the degree of bending inside battery cells.
Results of Technology Implementation
Are you curious about SNUAILAB's AI technology applied across various industries?
Maximize your business values by adopting industry-specific AI solutions.
Are you curious about
SNUAILAB's AI technology
applied across various industries?
Maximize your business values
by adopting industry-specific
AI solutions.

   sales@snuailab.ai  sales
        snuai@snuailab.ai  general

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© 2024 SNUAILAB Co., LTD. All Rights Reserved. 
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   sales@snuailab.ai  sales      snuai@snuailab.ai  general

Seoul  HQ  
Seoul National University, 133 Building, Automation and Systems Research Institute, 208th Floor, 1 Gwanak-ro, Gwanak-gu, Seoul Special City


Gwanggyo  R&D / Business  
1202th Floor, Building A, Gwanggyo Techno Valley, Advanced Institute of Convergence Technology, 145, Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do

© 2024 SNUAILAB Co., LTD. All Rights Reserved.   Privacy policy     Terms and conditions