MVTech

Deep learning: Why is the dataset key for a success result?

You want your new deep learning application to be successful? Then you should be careful with your data handling. In every machine vision application it is important to work with “high-quality” image data. However, in case of deep learning applications, this statement is even more important. No matter which method, …

MVTech

Correct detection of distortions during print inspection with HALCON’s shape-based matching

CAPTIC Informatique et Vision Industrielle is a MVTec Certified Integration Partner located in France. They develop control systems for machine vision in industrial processes. CAPTIC integrates non-destructive control solutions on production lines with industrial cameras in a variety of different industries like automotive, pharmaceutical, perfumery, cosmetics, electronics, glassware etc. For …

MVTech

Fast automated inspection of seals through 3D vision with HALCON

Brett Martin is a producer of different plastic solutions like, amongst others, push-fit products in the area of plumbing and drainage. They hired Fisher Smith Ltd., a company which designs and supplies machine vision systems, to develop an automated inspection system, which inspects the caps and seals of push-fit products. …

MVTech

Technology Days go digital in July

As reaction to the current situation we developed a new concept to let the well-known Technology Days take place digitally. On July 7 and 8, participants can learn in our seminars what HALCON’s deep learning technologies can contribute to your machine vision applications. Interactive webinars and practical exercises create a …

MVTech

New Revision 13.0.7 of SaperaLT Interface

MVTec has released the HALCON SaperaLT interface revision 13.0.7 for HALCON 13 and newer. Registered customers can download the interface here. MVTec News-Feed

MVTech

New Revision 13.0.4 of DirectShow Interface

MVTec has released the HALCON DirectShow interface revision 13.0.4 for HALCON 13 and newer. Registered customers can download the interface here. MVTec News-Feed

MVTech

Webinar: MVTec HALCON 20.05 – New Features

In this recorded webinar, HALCON’s product manager Mario Bohnacker presents all improvements and new features in the new version of MVTec HALCON, like: Deep Learning Training on CPU More robust Surface-Based 3D Matching Subpixel Bar Code Reader More robust Generic Box Finder CPU Support for Grad-CAM-based Heatmap Anomaly Detection improvements …

MVTech

New version HALCON 20.05 available now!

HALCON 20.05 has been released today and once again, the HALCON Progress Edition shows the advantages of a short release cycle: Besides innovative new features you will find optimized functionalities from the last release and incorporated customer feedback. The new version comes with good news for all machine vision users: …

MVTech

New Revision 13.0.3 of DirectFile Interface

MVTec has released the HALCON DirectFile interface revision 13.0.3 for HALCON 13 and newer. Registered customers can download the interface here. MVTec News-Feed

MVTech

New Revision 13.0.9 of SiliconSoftware Interface

MVTec has released the HALCON SiliconSoftware interface revision 13.0.9 for HALCON 13 and newer. Registered customers can download the interface here. MVTec News-Feed

MVTech

MVTec Deep Learning Tool 0.4 Early Adopter available now!

The first ‘Early Adopter’ (EA) release of the MVTec Deep Learning Tool is now available for download. With these intermediate releases we want to encourage interested users to try our latest functionality and to provide valuable feedback to the development team. Early Adopter versions will be available in addition to …

MVTech

HALCON 20.05 Feature-Preview: Further Improvements

CPU Support for Grad-CAM-based Heatmap The Grad-CAM-based heatmap (Gradient-weighted Class Activation Mapping) supports you in analyzing which parts of an image influence the classification decision. In HALCON 20.05, the heatmap calculation can also be performed on the CPU. Since this can be done without significant speed drops, customers are now …

MVTech

HALCON’s Deep-Learning-Based Object Detection 2: Train a model

In the second part of this tutorial series on HALCON’s object detection, you will learn how to train a deep-learning-based object detection model with MVTec HALCON. We will have a look at some hyperparameters that influence the training progress, like for example the learning rate. Additionally, we will learn how …

MVTech

HALCON’s Deep-Learning-Based Object Detection 3: Evaluate the Trained Model

In the third part of this tutorial series on HALCON’s object detection, we will evaluate the deep-learning-based object detection model we trained in the previous video. First, we will have a look at how you can influence the inference results by filtering them according to their overlaps and assigned confidence …