HALCON 13 - fast, comprehensive and robust machine vision
revolutionary, high-quality 3D reconstruction
From basic to high-tech applications
• Integrated Development
• Supports common
standards and operating systems
• Flexible architecture
facilitates rapid application development
to profit from the possibilities of the hardware
largest variety of robust matching techiniques
• Supports a multitude
of different image acquisition devices
from multiple cameras used at once, with high quality
support of multi-core platforms
• Ships with ready-to-use
interfaces to hundreds of cameras
• More robust
in flat-surface applications eg. picking boxes
• Run HALCON on
your special platform with HALCON Embedded
13 masters complex 3D- inspection tasks
This powerful machine vision software masters all demanding areas of imaging
such as postion recognition and object identification, code reading and
print-quality inspection - all complex, 3D machine vision tasks.
HALCON not only provides interfaces to a large number of cameras and frame
grabbers but also supports the most common standards, operating systems
and programming languages and
serves all industries with a powerful library which includes a comprehensive
variety of operators.
Its highly-interactive development programme, HDevelop, enables the building
of image-processing solutions fast and efficiently, resulting in cost-savings
and a quicker time to market.
HALCON guarantees hardware independence by providing
interfaces to hundreds of industrial cameras and frame grabbers and also
for standards like GenICam, GigE Vision, USB3 Vision, and IIDC 1394.
HALCON's sample-based identification is capable of differentiating
a large number of items and can recognize trained objects
solely based on characteristic features like colour or texture.
Consequently, there is no need to use special imprints
like bar codes or data codes for object identification purposes; the user
merely needing to train the software to identify objects from several
HALCON revolutionary technolgies offer a variety of 3D vision
methods, and, in particular, the 3D surface comparison between
expected and measured shape of a 3D object surface is an outstanding
technology of the software. The object's surface can be reconstructed
by any 3D technology available in HALCON such as multi-view stereo, sheet
of light, or by ready-to-run 3D hardware scanners (also directly supported
by Halcon). Additionally, improved photometric stereo
is offered for special use in surface inspection.
Provided are many methods for 3D object processing, such
as registration and triangulation of point clouds, calculation of features
like shape and volume, segmentation of point clouds by cutting planes,
and many more, all supported by GPU processing. HALCON automatically splits
the data into multiple threads running on all available processing cores
and then merges the output into one result with no input required
from the user. Likewise, depth from focus, Fast Fourier Transformation,
and HALCON’s local deformable matching are significantly
of HALCON 13
Speedups of more than 300% can be achieved on machines with AVX2-compatible
processors, HALCON 13 also offers significant speedups for all related
technologies, i.e., shape-based 3D matching, local and perspective
deformable matching, and component-based matching.
HDevEngine applications can now be debugged directly, making
error tracking much easier. HDevelop can be connected to an HDevEngine
application running on a different computer for remote debugging.
This functionality is also extremely useful for debugging HALCON Embedded
devices such as smart cameras.
3D MATCHING AND 3D RECONSTRUCTION
An improved surface-based 3D matching has has made HALCON 13 more
robust when dealing with flat surfaces. Viewing formation, simylataneiously
from multiple cameras leads to a more robust reconstruction than was
possible using previous stereo methods.
Different object characteristics make texture inspection a challenge.
HALCON 13's easy-to-use texture inspection took is configured by
simply passing some traiing images, the algorithm then automatically
adjusting the necessary parameters based on training images that
show flawless texture.
New deep-learning technology achieves higher reading rates than with
previous classification methods. HALCON 13's automatic text reader
is faster and now also supports reading of dot print characters and
barcodes even if large parts of the code are either defective or not
visible. Dealing with blur and distortion is now easier.
of objects - bar/data codes
classifier - Deep-learning-based OCR
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