MVTec Software, manufacturer for machine vision software, has released version 5.2 of its easy-to-use image processing software MERLIC. With MERLIC, users can quickly and easily develop complete machine vision applications even without programming knowledge.
The focus on ease-of-use and the simultaneous provision of the latest technologies do not contradict each other the company stated. MERLIC is proof that the latest and most powerful machine vision technologies, such as deep learning, can also be used with little effort and know-how. The now released version MERLIC 5.2 includes the deep learning technology ‘Global Context Anomaly Detection’.
Six months ago, the method, which is a world first in this form, was integrated for the first time in MVTec HALCON, the standard software for machine vision. Subsequently, the technology was adapted to MERLIC’s user experience concept, which requires no programming knowledge, and integrated into the software. Global Context Anomaly Detection, as an extension to the proven Anomaly Detection, takes deep-learning-based defect detection to a new level. The feature ‘understands’ the logical content of images and thus detects new variants of anomalies.
The deep learning technology ‘Global Context Anomaly Detection’ was developed by MVTec’s in-house research department. In addition, the results of the research work at MVTec are regularly submitted as scientific papers at international conferences including a recent article ‘The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localisation’, which opens the door to a completely new kind of anomaly detection. It describes anomaly detection on 3D surfaces. The publication won the Best Industrial Paper Award at the 17th International Conference on Computer Vision Theory and Applications this year.
Global Context Anomaly Detection is not the first method developed in MVTec’s research department that turns into a market-ready feature. “The rapid provision of research results for the MVTec products HALCON, MERLIC or the MVTec Deep Learning Tool underlines our ambition to be a technology leader. In turn, our customers benefit from using MVTec software products by always being able to work with the latest and most powerful technology in their applications,” explains Dr. Maximilian Lückenhaus, Director Marketing + Business Development.
The added value for the customer from using Global Context Anomaly Detection lies in the fact that, among other things, completely new application areas can be addressed with machine vision. Examples include quality control for completeness checks, or defect detection, for example on printed circuit boards.
In addition, the research department makes a valuable contribution to the machine vision research community. One example is the ‘MVTec Anomaly Detection’ dataset. This is the first large machine vision dataset for industrial anomaly detection that MVTec is providing free of charge to the research community for non-commercial purposes. This dataset is attracting a lot of attention. Various articles from MVTec dealing with this topic have already been cited thousands of times in the scientific literature.
For more information: www.mvtec.com