As a unique feature, Halcon 11 offers the „sample-based identification“ (SBI). With this innovative technology, thousands of trained objects can be recognized only by characteristic features like colour or texture, thereby eliminating the need to use bar codes or data codes for object identification purposes. The special features: SBI is general with regard to the type of object, SBI shows a high robustness, SBI is fast even for a large number – even thousands – of objects to be distinguished and offers an extremely high usability even for non-expert users. Furthermore, Halcon introduces new technologies and enhancements for 3D vision like 3D surface comparison, registration and triangulation of point clouds and improved photometric stereo tools for superior 3D surface inspection capabilities. Halcon 11 extends its data code reading functionality by supporting Aztec and Micro QR codes. Moreover, classification tasks are greatly simplified by using the „automatic feature selection for classification”. Furthermore, the usability of Halcon’s integrated development environment (HDevelop) is improved thanks to new features like the Profiler Tool and a new OCR assistant. The speed of Halcon 11 is significantly improved by 16 additional operators supported by GPU computing and various faster algorithms. On top, many new market- and user-orientated code examples as well as detailed documentation are included. The system now supports the Mac OS X operating system making the new technologies available to Apple users for the first time.
At Vision 2012 in Stuttgart, MVTec Software will showcase Halcon 11 with live demos of machine vision applications. pb
Vokabeln im Überblick
innovations and enhancements
Neuentwicklungen und Erweiterungen
triangulation of point clouds
Vermaschung von Punktwolken