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Exclusive
offer to Halcon customers!
Go
to Halcon
Go to Machine Vision Software
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Halcon
customers receive huge discount! |
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As of October 1st, HALCON Steady customers will receive a 50%
discount off the first year on every newly purchased HALCON Progress
SDK subscription including Deep Learning! Please note that only
customers, who haven't previously purchased a HALCON progress
subscription are eligible for this discount.
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![](/news/newsletter/201910-oct/Resources/progress.png) |
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What
is HALCON? |
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Dubbed "the power behind machine vision",
HALCON is the fast, comprehensive and powerful software for all
demanding areas of machine vision applications such as position
recognition, object identification, fault-detection, code reading,
print quality inspection, surface inspection, remote sensing and
aerial imaging, and all complex 3D-vision tasks.
With each new version, you can apply cutting-edge,
deep-learning algorithms to your application with HALCON's ability
to train Convolutional Neural Networks. After training, the network
can be used to classify new data. Typical application areas where
this deep learning technology is in the field of defect classification
(circuit boards, bottle mouths, or pills), or object classification
(identifying the species of a plant from one single image). Handcrafting
of features is no longer necessary with Deep Learning.
HALCON's powerful library includes a wide variety
of operators and also provides interfaces to hundreds of cameras
and frame grabbers. Additionally, HALCON secures your investment
by supporting most common standards, operating systems and programming
languages.
Quick and efficient building of imaging solutions
is possible with HALCON'S highly-interactive and integrated development
environment saving costs and improving time-to-market.
![](/news/newsletter/201910-oct/Resources/halcon-logo-and-slogan.png) |
The
difference between Halcon Steady & Halcon Progress? |
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Halcon
19.05 |
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Additonal
Deep Learning technologies for a broader range of applications |
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Providing
increased accuracy and an extended choice of compatible platforms
Enhanced object detection
Additional to HALCON's previous capacity to localize trained object
classes and identify them with a surrounding rectangle, this version
now aligns the rctables according to the orientation of the object,
more closely matching the shapre of the object and therefore providing
more precision detection. This is especially useful when detecting
elongared, tilted objects.
Inference on Arm Processors
This versions runs out-of-the-box inference for all three deep learning
technolgies. removing the need for dedicated hardware and so broadening
the range of possible deep learning applications.
Shape-based matching
Currently considered as one of HALCON's most important and powerful
core technolgies, with this version, users can specificallly define
"clutter" regions wchich should not contain any contours.
Adding such clutter information to the search model leads to more
robust matching results
Surface-based matching
Edge-supported surface-based matching is now more robust against
noisy point clouds and users can control the impact of surface and
edge information via multiple min-scores. Where no 3D image is available,
the user can switch off 3D edge alignment which eliminates the influence
of insufficient 3D data on results, while still keeping 2D information
for surface and edge alignment
Speedups
Depending on image type and settings, affine_trans_image is now
up to 230 % faster on AVX2 processors and polar_trans_image_ext
can be executed up to 160 % faster, depending on the interpolation
method |
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Click here to Download Halcon 19.05 brochure
Need a price or more application
information? Please email Adept
Turnkey or call our offices
Adept Turnkey Pty Ltd is"The Machine Vision and
Imaging Specialists" and distributor of LMI Technologies products
in Australia and New Zealand.
To find out more about any Teledyne DALSA product, please call Adept Turnkey
at Perth (08) 9242 5411 / Sydney (02) 9905 5551 / Melbourne (03) 9384
1775 or contact us online.
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