HALCON 11
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Halcon 11'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 different directions in order for the objects to be recognised.

Halcon 11 offers 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.

Fast machine vision
Supporting 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, the speed of Halcon 11 is significantly improved by 16 additional operators (now more than 75) supported by GPU processing. Halcon 11 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 accelerated.

Click here to learn more about Halcon's general features

Highlights of Halcon 11 - 3D surface inspection and object identification
• Sample-based object identification	• 3D surface comparison	• 3D object processing	• Improved photometric stereo
• Reading of Aztec Codes	• Reading of Micro QR Codes	• Automatic feature selection for classification	• Fast algorithms and extended GPU support
• Profiler tool in HDevelop	• New revised HALCON/C++ interface	• Supports Mac OS X	• Fast visualization of 3D data
• Stereo with telecentric lenses	• High usability even for non-experts	• Supports JPEG XR	• Improvements of camera calibration
Sample-based object identification Halcon 11 can recognize trained objects based on characteristic features like colour or texture and so eliminating the need for bar codes or data codes	3D surface comparison Halcon 11 can provide a 3D surface comparison between the expected and the measured shape of a 3D object surface	3D object processing Vision processing is enhanced and improved by registration and triangulation of point clouds, calculation of features like shape and volume	Improved photometric stereo HALCON 11's photometric stereo, enhances 3D surface inspection making use of shadows to detect dents in surfaces quickly and easily.

HALCON 11 brochure