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Machine vision: MVTec further improves user experience with HALCON 21.05


A major highlight in the new HALCON 21.05 version is the Generic Shape Matching feature, which makes MVTec s industry-proven shape matching technologies even more user-friendly and future proof. Users can now implement their solutions much faster and more easily, thanks to a significant reduction in the number of operators required. Moreover, thanks to the unification of HALCON s different shape matching methods into a single set of operators, users can now integrate new shape-matching-related features more easily. The HALCON Deep Learning Framework is another new feature that enables experienced users to create their own model within the software. As a result, experts can now implement even the most demanding and complex applications in HALCON directly, without being dependent on pretrained networks or frameworks from third-party suppliers. HALCON 21.05 also supports the NVIDIA® TensorRT™ inference engine, which can significantly improve the inference performance of applicatio ....

United States , Mario Bohnacker , Mvtec Software Gmb , Software Gmbh , Generic Shape Matching , Learning Framework , Technical Product Manager , Industrial Internet , Gige Vision , Obotics Industry , Obotics News , Obotics Articles , Obotics Technology , Obotics Companies , Obotics Conferences , Obotics Resources , Ndustrial Robots , Ersonal Robots , Artificial Intelligence , ஒன்றுபட்டது மாநிலங்களில் , மென்பொருள் கஂப் , கற்றல் கட்டமைப்பு , தொழில்நுட்ப ப்ராடக்ட் மேலாளர் , தொழில்துறை இணையதளம் , கிக் பார்வை ,

Machine vision: MVTec further improves user experience with HALCON 21.05


A major highlight in the new HALCON 21.05 version is the Generic Shape Matching feature, which makes MVTec s industry-proven shape matching technologies even more user-friendly and future proof. Users can now implement their solutions much faster and more easily, thanks to a significant reduction in the number of operators required. Moreover, thanks to the unification of HALCON s different shape matching methods into a single set of operators, users can now integrate new shape-matching-related features more easily. The HALCON Deep Learning Framework is another new feature that enables experienced users to create their own model within the software. As a result, experts can now implement even the most demanding and complex applications in HALCON directly, without being dependent on pretrained networks or frameworks from third-party suppliers. HALCON 21.05 also supports the NVIDIA® TensorRT™ inference engine, which can significantly improve the inference performance of applicatio ....

United States , Mario Bohnacker , Mvtec Software Gmb , Software Gmbh , Generic Shape Matching , Learning Framework , Technical Product Manager , Industrial Internet , Gige Vision , ஒன்றுபட்டது மாநிலங்களில் , மென்பொருள் கஂப் , கற்றல் கட்டமைப்பு , தொழில்நுட்ப ப்ராடக்ட் மேலாளர் , தொழில்துறை இணையதளம் , கிக் பார்வை ,