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Whitepaper

Computer vision for industrial defect detection

I4.0 computer vision has gone a long way since the early 2000s but discriminating OK from NOK parts on the shop-floor is still a demanding task – Read along to learn about challenges and solutions.

Semantic image segmentation

Semantic image segmentation identifies object boundaries on a per-pixel basis. One obvious application in manufacturing is the detection and size measurement of defects. Given stable imaging conditions and advanced pre- and post-processing tools a suitable neural architecture can detect minute defects also under difficult conditions – e.g.. on reflective, contaminated surfaces.
With our TensorFlow-based d-vision library we have realized cloud-based and on-premises image segmentation solutions for different customers. We use a public dataset to discuss typical challenges, workflows, and performance KPIs.

Energy & Industrials

Let’s get digital – and navigate to net zero emissions

Digitisation poses major challenges for the chemicals, energy, real estate and manufacturing industries. At the same time however, it reveals opportunities for the more efficient use of human and…

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