Deep Learning with Neuralyze
Neuralyze by senswork
senswork has developed the deep learning software Neuralyze for quality tests with complex test objects. The efficient inspection software is suitable for tasks that cannot be solved with conventional image processing. This includes, for example, inspections of test objects with transparent, reflective, curved or inhomogeneous surfaces or the detection of products with a high variance of features.
A self-learning method with neural networks is implemented to assess characteristics. A large amount of image data is required for the training process, with the help of which the algorithm is then optimized.
With Neuralyze, for example, cracks, scratches, voids, fibers, grooves, hair, oxidation, delamination or inclusions can be detected.