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Optical Technology and Machine Learning for Trusted Surface Defect Inspection
ZEISS SurfMax is a groundbreaking quality assurance solution for reliable high-speed visual defect detection: a perfect combination of deflectometry-based, high-resolution ZEISS optical sensors and machine learning driven by in-house developed algorithms. ZEISS SurfMax can detect and classify relevant surface defects in products – consistently and in real time.
Prevent Defective Parts from Getting to Your Customers
Thousands of components and products made for automotive, aerospace, medical, and consumer electronics have specific demands on proper surface quality, both for cosmetic and functional purposes.
Cosmetic Surface Quality
From a cosmetic perspective, how something appears or feels to a customer affects its value and its overall quality. This impacts the way a customer looks at your brand, reputation and quality.
Functional Surface Quality
Many components also rely functionally on the quality of the surface. Defects can affect performance and reliability. For example, a scratch on a jet engine airfoil could cause cracking on the surface and engine failure.
Reliable for Many Surface Types
Inspect Countless Textures, Finishes, Forms and Shapes
Automating Surface Defect Detection
Three Steps to SuccessSuperior Imaging
Multiple Images with one InspectionZEISS SurfMax takes images with different modalities to ensure complete capture of relevant surface characteristics.
Multiple channels of information are required to align the visual inspection process. ZEISS SurfMax produces three unique and robust image channels that are essential in extracting the minute differences between real defects and acceptable surface anomalies, such as surface contamination or actual defects.
1 // Grayscale Image
It provides information related to changes in white light reflectivity and highlights defects such as discoloration and dot imperfections, as well as part contours.
2 // Gloss Image
It provides detailed information on the level of gloss and highlights defects such as scratch, texture non-uniformity, residue and even fingerprints, based on how much light scattering is observed.
3 // Slope Image
It provides consistent evaluation of surface topography and form at localized regions and highlights defects including dents, deep scratches, orange peel and other form- and shape-related errors.
Effective Decision Making
Accurate Analytics for Reliable ResultsZEISS SurfMax uses machine learning with tailored algorithms to determine if a part passes or fails during the inspection process. This robust solution can analyze and classify defects automatically to determine reliably and quickly parts considered acceptable or not and to provide feedback to manufacturing.
Objective Defect Scoring and Adjustable Detection Sensitivity
ZEISS SurfMax consistently scores the severity of a defect with objective scoring and sensitivity tuning – effectively eliminating overkill and escapes to improve your yield.
Defect Classification Examples
Learn more about Processing Defects with ZEISS SurfMax
Download the Detailed Brochure with Many Defect Classification Examples by Filling Out the Form Below.