AI²
Interface
A typical issue associated with current AI Accelerator hardware
is the proprietary API's that currently have no set standard.
To combat this MVTec introduced the AI² Interface. AI²
is future-proof and allows the impentation of plug-ins for specific
hardware. Currently TensorRT and OpenVINO tookits
are available, but expect more to come.
OpenVINO
OpenVINO is a toolkit for high-performance deep learning
on Intel hardware. The toolkit extends workloads across Intel®
hardware (including accelerators) and maximizes performance.
OpenVINO provides plugins for Intel hardware such as:
Intel CPUs
Intel GPUs
Intel VPUs (e.g., Intel® Movidius Neural Compute
Stick)
Using the OpenVINO toolkit plugin can shorten system runtime
and lower memory consumption.
Code128 Reader improvements.
HALCON 21.11 allows codes with a larger amount of blur to
be read.
Instance Segmentation
HALCON 21.11 delivers a new technology called instance segmentation.
This combines semantic segmentation and object detection. Instance
segmentation allows objects to be assigned to different classes
with pixel accuracy. This technology is useful in applications
where objects are very close to each other, touch or overlap.
Improved Dictionary Handling
Dictionaries make it easy and convenient to manage complex data
in HALCON. For example, different data types such as images, Regions
Of Interest and parameter settings can be bundled in a single
dictionary. Dictionaries can now be initialized with a single
operator call and the syntax for adding and retrieving elements
has been simplified. In addition, the auto-completion now also
suggests the keys contained in the dictionary, which further speeds
up and simplifies working with dictionaries.
Future-proof interface for shape-matching
HALCON 21.11 provides Generic Shape Matching that offers user-friendly
access to MVTecs industry-proven shape matching technologies.
In this version users can now implement their solution much faster
as the number of required operators is significantly reduced.
Further, existing functionalities are enhanced to increase usability.
e.g. the clutter feature has been integrated, handle inspection
has been optimised, and additional parameters have been integrated
and included in the automatic parameter estimation.
Additional
Features
HDevelop
now offers a dark mode.
Canvas now offers a zooming tool as well as the ability
to fit all graphic windows into view.
The bar code reader now allows users to set a maximum bar
code width.
|
|
Dubbed
"the power behind machine vision", HALCON is a fast, comprehensive
and powerful software for all demanding areas of machine vision
applications such as position detection, 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 for this deep learning technology
is in the field of defect classification (circuit boards, bottle
mouths, pills... and more) or object classification (e.g. 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 the 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.
|
|