Automatic surface analysis
in quality control
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.
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.
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Quality assurance in the solar industry
Automated inspection and fault detection in solar production.
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Automatic weld seam inspection
Fast and reliable weld seam testing for non-destructive quality assurance
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Quality assurance in the pressing plant through artificial intelligence (AI)
In-line quality assurance in the Industry 4.0 press shop
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Automated detection of casting defects in production using AI
Poren, Einschlüsse, Blasen oder Lunker auf gegossenen Metall- oder Kunststoffteilen mit KI erkennen.
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Automatic quality assurance for battery cell testing
Zuverlässige und effiziente Prüfung von Schweißnähten, Oberflächenmerkmalen und Durchgängigkeit von Batteriezellen.
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Smart Press Shop - quality assurance through AI
AI-supported in-line quality inspection for pressing plants
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voestalpine - End-to-end quality inspection through artificial intelligence
End-to-end quality inspection through artificial intelligence
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Your path to automatic surface analysis with elunic
Counselling
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