Defect Detection via Matrix Camera and Deep Learning
For ORAFOL Europe GmbH, we have developed an AI-based system for high-precision defect detection on plastic lenses – featuring innovative lighting, intelligent data archiving, and automated monitoring.
For ORAFOL Europe GmbH, we have developed a state-of-the-art system for automated quality control of plastic lenses. At its core is a Deep Learning-based solution for the precise detection and classification of surface defects – even on transparent materials with complex light refraction properties.
Innovative Lighting Concept: Specially developed lighting design ensures uniform illumination and optimal visibility of even the finest defects on transparent glass and plastic lenses.
Long-term Data Archiving: All system metrics are archived for a period of ten years – including a convenient re-import function for analysis and traceability.
Efficient Online Annotation: An API-coupled annotation platform enables the direct and seamless integration of expert feedback into the AI model’s training process.
Intelligent Monitoring: All relevant Deep Learning metrics are continuously monitored. In case of deviations, automated notifications are sent – for maximum process reliability.
Application Video
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I was particularly impressed by the fact that the competent and motivated staff always responded to interim changes to the plan in a friendly, quick, and flexible manner, and that our requested changes were implemented at no additional cost
ID has excellent, motivated, and friendly specialists in manufacturing process automation who know exactly what they're doing. From conception to production, all the experts are in-house, which made working with us much easier.
We supply high-quality components for industrial image processing, which ID uses in special-purpose machine construction. In addition, ID conducts professional training courses for our software at customers' sites, which significantly contributes to the efficient use of the components in automation.
