Scanning codes on battery cases

Traceability management is essential in the production of battery cases, a key component of EVs (electric vehicles). However, on metal cases such as aluminum with a hairline finish, the surface gloss and fine irregularities cause diffuse light reflection, making it extremely difficult to read printed DataMatrix or QR codes. With conventional code readers, the effects of these reflections often led to frequent reading errors, resulting in minor line stoppages and quality control risks.

KEYENCE's SR-X Series AI-powered code reader was developed to solve this problem. Equipped with unique advanced image processing algorithms and versatile lighting control technology, it powerfully suppresses reflections from hairline and glossy metal surfaces. This makes it possible to accurately capture codes even under adverse conditions where stable reading was previously difficult. By introducing the SR-X Series, the reliability of the reading process in battery case manufacturing lines is dramatically improved, achieving stable traceability management and maximizing productivity.

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