Opto Solino: Optical surface inspection with AI and BRDF analysis

The Solino imaging system from Opto GmbH combines BRDF analysis, AI and high-resolution camera technology for non-contact surface inspection. Microscopic defects, roughness and impurities can be detected and automatically evaluated in real time.
At the heart of Opto GmbH's Solino is a powerful computer-aided imaging approach. By precisely controlling the interaction of light with a surface, Solino captures the optical fingerprint of the object. Inside the system, 64 high-intensity LEDs illuminate the object from different directions, while a high-resolution 20-megapixel camera records each illumination angle individually. The result is a multi-dimensional reflectance map that provides far more than just a visual image. Instead of simply showing what a surface looks like, Solino reveals how it reacts to light. By analyzing these reflection patterns - known as BRDF profiles - Solino detects microscopic imperfections, roughness, impurities and other anomalies that can remain invisible to the human eye and conventional camera systems.
BRDF analysis and AI for automated surface inspection
To enable rapid evaluation, Solino software allows users to examine the captured data in real time via an intuitive user interface and simple batch processing. In addition, the unique Solino anomaly map can be integrated into machine learning workflows and processed with AI-powered algorithms for automated classification and defect prediction. Plug-and-play, non-contact and insensitive to ambient light, Solino is suitable for both laboratory use and process integration. From aerospace and medical technology to wafer and semiconductor applications, Solino provides reliable insights into surfaces where quality and precision matter most.
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