HALCON model 20.11 provides new options and enhancements, together with Deep OCR, a deep learning-based method for optical character recognition that localizes numbers and letters no matter orientation, font, and polarity. Additionally new is DotCode, a 2D code sort primarily based on a matrix of dots designed for quick printing. Core shape-based matching know-how was additionally optimized, as extra parameters are now estimated mechanically, enhancing matching charges in low distinction and excessive noise environments.
Edge-supported, surface-based 3D matching represents one other enchancment, growing 3D matching pace for scenes with many objects and edges. Moreover, model 20.11 features a new technique for deep learning-based edge extraction is designed to require only some coaching photos.
To Be taught Extra:
Contact: MVTec Software
Headquarters: Munich, Germany
Product: HALCON ver. 20.11
Key Options: New OCR and 3D matching performance, new deep learning-based edge extraction instruments.
What MCTec says:
View extra data on the HALCON version 20.11 update.