Newest HALCON Features
On this page, you will find information on the newest features of MVTec's standard machine vision software HALCON.
HALCON 18.05 – Current Version
The latest HALCON version was released on May 22, 2018 and – reflecting the release date – it is named: HALCON 18.05. Below, you can find the major features included in this version.
With HALCON 18.05, customers are able to perform deep learning inference on a CPU
This CPU inference has been highly optimized for Intel®-compatible x86 CPUs. In tests, this resulted in a typical inference execution time on a standard Intel CPU (8 threads) that achieves performance similar to a midrange GPU.
Removing the need for a dedicated GPU greatly increases the operational flexibility. E.g., industrial PCs that usually are not designed for housing large and powerful GPUs can now easily be used for deep-learning-powered classification (inference).
Improved Bar Code Reader
HALCON 18.05 features optimized edge detection, which improves the ability to reliably read bar codes with very small line widths as well as strongly blurred codes. Moreover, the quality of the bar codes is also verified in accordance with the most recent version of the ISO/IEC 15416 standard.
The deflectometry functionality introduced in HALCON 17.12 now includes a new pattern type that improves the precision and robustness of error detection especially on partially specular surfaces like varnished metal sheets.
HALCON 18.05 offers optimized functions for surface-based 3D matching. These can be used to determine the position of objects in 3D space more reliably, making development of 3D applications easier. In addition, HALCON now also includes a new helper procedure that allows developers to quickly inspect and debug parameters and results of a surface-based matching application.
Automatic Handle Clearing
HALCON 18.05 also makes it much more comfortable to work with handles by clearing these automatically once they are no longer required. This significantly reduces the risk of creating memory leaks and makes writing "safe code" much simpler.
Support for Hypercentric Lenses
A new camera model within HALCON now allows the corrections of distortions in images that were recorded with hypercentric (also known as pericentric) camera lenses. These lenses can depict several sides of an object simultaneously, thus enabling a convergent view of the test object. With this technology, users only need a single camera system for inspection and identification tasks, e.g., the inspection of cylindrical objects.
The HDevelop library export feature has been expanded: Developers can now access HDevelop procedures not just in C++, but also in .NET via an exported wrapper – as easily and intuitively as a native function. This significantly facilitates the development process.
Previous Version – HALCON 17.12
HALCON 17.12 was the first release of the HALCON Progress Edition. To learn more about the different HALCON editions, please click here.
Deep Learning out of the Box
With HALCON 17.12, users are able to train their own classifier using CNNs (Convolutional Neural Networks) with HALCON. After training the CNN, it can also be used for classifying new data with HALCON.
Click here to learn more about training and using the CNN.
Inspecting Specular Surfaces with Deflectometry
HALCON 17.12 includes new operators, which enable the user to inspect specular and partially specular surfaces to detect defects by applying the principle of deflectometry. This method uses the reflections on specular objects' surfaces by observing mirror images of known patterns and their deformations on the surface.
Automatic Text Reader
HALCON 17.12 features an improved version of the automatic text reader, which now detects and separates touching characters more robustly.
Surface Fusion For Multiple 3D Point Clouds
HALCON now offers a method that fuses multiple 3D point clouds into one watertight surface. This new method is able to combine data from various 3D sensors, even from different types like a stereo camera, a time of flight camera, and fringe projection. This technology is especially useful for reverse engineering.
With the new HDevelop library export included in HALCON 17.12, calling HDevelop procedures from C++ is as easy and intuitive as calling any other C++ function. This new library export also generates CMake projects.
Previous Version – HALCON 13
To find out more about the numerous features and improvements of our previous version HALCON 13, please click here.
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