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The endplate is a component of battery modules and packs that supply electricity to power electric vehicles. It serves to protect the battery from external environments and secure it to the vehicle. Designed with considerations for battery output, energy, cooling, size, and stability, the endplate requires high-precision machining, making it a key component in the secondary battery industry, where extreme accuracy is essential. Even minor defects in the endplate can lead to severe incidents, such as fires, making precise quality control crucial. Therefore, endplates are manufactured using high-pressure die-casting, a process that minimizes defects and porosity while ensuring high durability and strength.

To detect minute defects, a large-diameter optical system capable of capturing each inspection surface in a single shot is used, preventing false detections that may occur during the image stitching process.

A six-axis articulated robot carefully picks up the object using suction to prevent damage, then places it onto the inspection stage. The stage moves along the Z-axis within the optical system’s depth of field for imaging.

Afterward, the six-axis articulated robot picks up the object again and, through precise teaching, captures five additional surfaces using a single optical system.

Images captured using multi-channel lighting, consisting of white LED and blue light, are analyzed using AiV’s computer vision deep learning algorithm to detect irregular defects on metal surfaces.