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Neurocle Assists Rechargeable Battery Productivity

In the global trend of eco-friendly and carbon neutrality, rechargeable battery is key to sustainable growth. The global rechargeable battery market is expected to grow to approximately USD 351.7 billion by 2030, and fierce competition continues to dominate the global market

Following this trend, the importance of reliable quality inspection is becoming more and more prominent. It turns out that the number of manufacturers who are applying AI-based vision inspections to facilities is increasing significantly.

 

The difficulty in Vision Inspection of Rechargeable Battery 

Precise and rapid quality inspection is essential in the manufacturing process of rechargeable batteries that are directly related to human survival. However, the defect test is not easy for them for several reasons. First of all, the criteria for determining defects are ambiguous, and it is not easy to acquire various and sufficient defective data. Also, the shape and material of the batteries vary, increasing the frequency of atypical defects. Finally, due to the coexistence of gloss and matte areas in the battery, the difficulty of setting the optical environment is high.

 

[Neurocle PR] Battery Use Case

 

Neurocle’s AI-based Solution for Rechargeable Battery

Neurocle addresses these issues through vision solutions using AI deep learning technology. Neurocle’s solution has been recognized by the vision industry for its high accuracy of detecting atypical or minute defects in complex environments. What makes this possible is its core technology called ‘Auto Deep Learning Algorithm’. Auto Deep Learning Algorithm is a technology developed by Neurocle and is a function that automatically optimizes parameters necessary for optimal model learning. The user may easily generate a high-performance AI model with this function.

Neurocle’s solution applies to the entire manufacturing process, from small batteries to medium and large batteries for EVs and ESSs. The use case includes Coated Electrode Sheet Defect Inspection, Cap Welding Inspection, Anode/Cathode alignment inspection, and Body Surface Inspection of Cylindrical & Pouch Batteries. Neurocle’s solution guarantees high inspection accuracy when detecting various scratches, foreign substances, dirt, contamination, pinholes, etc.

Find out more about Neurocle.

Also, stay up to date with the most recent machine vision and image processing news right here on MVPro Media.

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