![]() ![]() This technology is especially useful for reverse engineering. The data from these sensors get fused into one highly optimized 3D point cloud. This new method is able to combine data from different or even various 3D sensors, like a stereo camera, time of flight camera, or fringe projection. 3D Fusion HALCON now offers a new method that fuses multiple 3D point clouds into one watertight surface. Improved Automatic Text Reader HALCON 17.12 features an improved automatic text reader, which now detects and separates touching characters more robustly. The new functionality is accessible from the HDevelop GUI and via command line interface. This new library export also generates CMake projects which can easily be configured to output project files for many popular IDEs, such as Visual Studio. This is possible via a C++ wrapper that encapsulates the necessary HDevEngine API calls. ![]() #Mvtec halcon license codeEasy Code Export HDevelop provides a new library export that makes the use of HALCON procedures from C++ as easy and intuitive as calling any other C++ function. Deflectometry uses specular reflections by observing mirror images of known patterns and their deformations on the surface. ![]() After training the CNN, it can be used for classifying new data with HALCON.ĭeflectometry HALCON 17.12 includes a new method for inspecting specular reflecting surfaces to detect defects like dents or scratches which can hardly be identified using conventional surface inspection techniques. This significantly reduces programming efforts. During training, HALCON automatically learns which features can be used to identify different classes – a big advantage compared to all previous classification methods. These have been highly optimized for industrial applications and are based on hundreds of thousands of images. Major New Features of HALCON 17.12 Progress Deep Learning With HALCON 17.12 users are able to train their own classifier using CNNs (Convolutional Neural Networks) based on two pretrained networks that are included in HALCON. The file version of the HALCON library can also be checked with the following operator call: get_system('file_version',FileVersion), or, under Windows, by inspecting the file properties of the files halcon.dll and halconxl.dll. The newest version of the HALCON library is indicated by: 'HALCON version: 17.12.0.2 ()'. #Mvtec halcon license softwareThe software used by the system is MVtec's Halcon software. To find out which version is currently installed, please open the dialog 'Help->About' in HDevelop.ĪVT Prosilica GC2450C cameras and MVTec Halcon software for. Therefore, the HALCON library 17.12 was replaced by an updated HALCON library 17.12.0.2. Note that we cannot guarantee that future CUDA versions can be used together with HALCON. HALCON's deep-learning-based classification could not be used with the CUDA Toolkit Version 9.1 or higher.This only affects the linking of image acquisition interfaces and extension packages handling 3D object models and the use of HALCON 13 image acquisition interfaces that support 3D object models. The HALCON library did not export the symbols for the functions dealing with 3D object models.Addendum to the Release Notes of HALCON 17.12 The originally released version of HALCON 17.12 had the following issues: This document provides the release notes for MVTec HALCON 17.12 Progress, as released in December 2017. ![]()
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