MVtes Halcon 18.11.01

Features
Deep Learning
Deep Learning in MVTec HALCON

With HALCON 18.11, users are able to train their own classifier using pretrained CNNs (Convolutional Neural Networks) included in HALCON. These networks have been highly optimized for industrial applications and are based on hundreds of thousands of images. HALCON 18.11 offers a seamlessly integrated, comprehensive set of deep learning functions for

classifying entire images
object detection
semantic segmentation.

Deep-learning-based image classification allows to easily assign images to trained classes. The low labeling effort enables particularly short set-up times, and applying the classifier to new data is especially fast.

With semantic segmentation, trained defect classes can be localized with pixel accuracy. This allows users to, e.g., solve inspection tasks, which previously could not be realized, or only with significant programming effort.

Object detection localizes trained object classes and identifies them with a surrounding rectangle (bounding box). Touching or partially overlapping objects are also separated, enabling object counting.

To maximize its potential in industrial environments, HALCON’s deep-learning-based image classification, semantic segmentation, and object detection can be performed on GPUs, as well as on x86 CPUs.
ECC 200 Code Reader Improvements
ECC 200 code reader

With HALCON 18.11, the data code reader for ECC 200 codes has been improved. The overall recognition rate could be increased by 5 % (data based on our internal ECC 200 benchmark consisting of more than 3,700 images from various applications). In addition, the ECC 200 reader is able to read codes with disturbed quiet zone now. Moreover, codes against complex backgrounds can be found and read faster and more robustly.
Improved Bar Code Reader
Bar code reading has been improved

HALCON now features optimized edge detection, which improves the ability to reliably read bar codes with very small line widths as well as strongly blurred codes. Moreover, the quality of the bar codes is also verified in accordance with the most recent version of the ISO/IEC 15416 standard.
Improved Automatic Text Reader

HALCON features an improved version of the automatic text reader, which now detects and separates touching characters more robustly.

Product: MVtes Halcon 18.11.01
Version: 2018_v18.11.01
Supported Architectures: x64
Language: english
Supported Operating Systems: Windows 7even or newer
Size: 1DVD