Fuel cell separators are key components in fuel cell stacks and are typically made of graphite or metal. Their main function is to separate each individual cell and provide the necessary channels for transporting reactant gases. Some research focuses on developing low-cost, low-resistance, high-strength, corrosion-resistant, and highly flexible carbon separators. Other systems utilize porous separator plates, such as water transport plates (WTPs).

The NANO-VITooI-S fully automatic intelligent fuel cell separator inspection system integrates cutting-edge optical imaging, 3D vision sensing, big data analysis, and artificial intelligence, redefining the new standard for high-end machine vision inspection.

This system utilizes a highly integrated, self-developed multimodal optical imaging system and a high-precision 3D vision module to accurately identify various microscopic defects on the product surface (including but not limited to Oxide, SealGlass, and Chip), and achieve micron-level measurement of three-dimensional dimensions such as warpage and surface groove area. Equipped with intelligent AI algorithms, it possesses self-learning and iterative optimization capabilities, enabling automatic classification and sorting of defective products, thereby deeply empowering production process optimization and quality control. It supports both online high-speed linkage and offline detection modes, providing a comprehensive, highly reliable, and intelligent quality inspection solution for the fuel cell manufacturing field.