MVTec is to release a new version of its standard software HALCON which aims to set new standards for the use of deep learning.
Available at the end of the year, the company said that the new solution offers a large selection of functions for the use of deep learning out of the box. What’s more, it paves the way for the wide use of self-learning machine vision technology based on artificial intelligence, which means that users can achieve more robust classification results faster and more easily.
Customers will be able to conduct training of convolutional neural networks (CNNs) based on deep learning algorithms themselves for the first time. The trained networks can then be used to automatically classify the image data corresponding to the pre-defined classes.
Highlighted by the company is the fact that the future-proof deep learning features are seamlessly integrated into a professional and established standard machine vision library.
Product manager HALCON at MVTec Johannes Hiltner said: “With the new HALCON version, we are specifically addressing a current trend and strong market need for machine vision. By using their self-trained networks, customers save a great deal of effort, time, and money. For example, defect classes can be identified solely through reference images.
“ Tedious programming for identifying different defect classes is therefore no longer necessary. In the industrial machine vision environment, deep learning is mainly used for classification tasks which appear in many applications areas, e.g., in the inspection of industrial goods or the recognition of components.”