The flawless condition of a surface is a decisive quality feature in almost every industry. Customers expect ever more complex products of the highest quality with ever shorter production times.

Need for automatic testing of surfaces

However, it is not only ever shorter cycle times that pose increasing challenges to conventional quality inspection processes with trained employees. Above all, the increasingly complex components must be reliably and constantly inspected for surface defects. It is crucial that each part produced is inspected individually and that any production defects detected are documented. As even the smallest defects, such as cracks, scratches or dents, must be detected with the utmost reliability, conventional visual inspection by trained employees is increasingly reaching its limits in most industries. Software-based methods for the automatic analysis of surfaces, on the other hand, can guarantee constant and reliable defect detection and also document the detected defects centrally. This makes it possible to integrate a reliable surface inspection into the production process and to correct any defects found for subsequent production series.

Lunkererkennung

Surface analysis in quality control with AI.SEE™

With AI.SEE™, elunic offers a software-based solution for surface analysis that can be integrated into the production process regardless of the existing or planned hardware. Using computer vision in combination with machine learning algorithms, AI.SEE™ provides a reliable, fast and cost-effective solution for surface quality assurance.

Showcases.

Your path to automatic surface analysis with elunic

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    elunic AG

    Erika-Mann-Str. 23

    80636 Munich

    Germany

    089 / 4161737 - 30

    info@elunic.com

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                                    After the first screening, we will send you an invitation to our Talentcube tool. We have prepared 3-5 short questions that you can answer in a personal video (we have also prepared a short introduction video). If you don't feel comfortable with this, please let us know - we'll find an alternative!

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