Customer Pain Points:
Traditional X-ray inspection methods have high false-positive and false-negative rates when detecting internal cell parameters such as Overhang, Gap, cell voltage range, and other safety-related features. This not only leads to the wasteful rejection of many good cells, increasing production costs, but also risks allowing defective products with potential safety hazards to reach the market, harming the company’s reputation and end-user safety.

Solution:
A tailor-made inspection solution based on CT and X-ray machines. The equipment uses 3D modeling technology combined with deep learning and intelligent detection to automatically identify fine defects, enabling non-destructive measurement of key process indicators such as Overhang, Gap, and cell voltage range. In mass production, it achieves 99.95% reliability, effectively overcoming the high false-positive and false-negative rates of traditional X-ray inspection. Equipped with a large-area inspection system, it ensures high yield and high reliability, helping customers improve both quality and efficiency.

Customer Value:
Product shipment yield increases to 99.95%, effectively reducing production costs and minimizing resource waste, while ensuring the safety of product applications.