HALCON version 20.11 adds new features and improvements, including Deep OCR, a deep learning-based approach for optical character recognition that localizes numbers and letters regardless of orientation, font, and polarity. Also new is DotCode, a 2D code type based on a matrix of dots designed for fast printing. Core shape-based matching technology was also optimized, as more parameters are now estimated automatically, improving matching rates in low contrast and high noise environments.
Edge-supported, surface-based 3D matching represents another improvement, increasing 3D matching speed for scenes with many objects and edges. Additionally, version 20.11 includes a new method for deep learning-based edge extraction is designed to require only a few training images.
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To Learn More:
Contact: MVTec Software
Headquarters: Munich, Germany
Product: HALCON ver. 20.11
Key Features: New OCR and 3D matching functionality, new deep learning-based edge extraction tools.
What MCTec says:
View more information on the HALCON version 20.11 update.
