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.

Deep Learning with Cognex ViDi Suite

AI for Machine Vision

If the inspection with conventional image processing is cost-intensive or time-consuming, deep learning is the ideal addition. We are continuously working on AI in our Innovation Lab. Cognex ViDi is the first deep learning software for complex applications in factory automation.

Classic image processing has its origins in the inspection of standardized types or mass production. The advantage is a clearly defined environment with a very precise knowledge of which type of product or workpiece is being viewed. This means that a clear set of rules can be defined for a clear yes / no classification.

However, rigid, rule-based concepts are no longer applicable to the factory of the future. Machine learning does not require a rigid set of rules, but rather relies on preprocessed data. Sample forms or CAD models serve as the basis for classification.

The machine goes through a training phase to teach it in. To do this, she records large amounts of data and, based on a manual assessment, learns to separate "good" and "bad".

We solve demanding applications!

The Deep Learning software Cognex ViDi Suite is dedicated to solving difficult inspection and classification problems. The result is a flexible program for countless applications in image processing. Successful applications can be found in the pharmaceutical industry, medical technology and logistics. The Software benefits:

Solve machine vision applications that are too difficult to program with rule-based algorithms
Compensate for disturbing background and poor image quality
Adapt to new examples without having to reprogram core algorithms
Be used by persons who are not experts in image processing.

With the integration of Cognex ViDi Suite deep learning image analysis, the following can be achieved: