Inspection software Neuralyze®

machine learningfoodmedical

In the case of complex test objects, a set of rules for the clear differentiation of features can often no longer be described - classic image processing reaches its limits here. With our machine learning / deep learning software Neuralyze®, a description of rules is no longer necessary. Neuralyze learns to recognize the smallest errors in any form with high precision and to interpret what is "recognized". A self-learning method based on neural networks is used to assess characteristics. For this purpose, image data of the objects or properties to be recognized are necessary in advance. The assessment of the characteristics is optimized in a training process. • Efficient inspection software for tasks that cannot be solved with conventional image processing • Inspection of test objects with transparent, reflective, curved or inhomogeneous surfaces is possible • Detection of products with a high variance of features • Dynamic Link Library (DLL) • Integration in VisionCommander possible • Simple and easy to use • Automotive industry: Surface inspection of sheet metal for scratches or traces of paint, detection of cavities in aluminum • White goods:Inspection of aesthetically visible surfaces for dishwashers or other household appliances • Food industry: Quality assurance for transparent plastic composite films • Pharmaceutical industry: Quality assurance for single-use films, e.g. B. for syringes • Medical technology: Checking infusion bags, cyano bags or other transparent foils for medical technology • Packaging industry: Defect detection in transparent composite films