Deep OCR - MVTec Halcon

With Deep OCR, MVTec introduces a holistic deep-learning-based approach for optical character recognition (OCR). 

Deep OCR can localize numbers and letters much more robustly, regardless of their orientation, font type, and polarity. The ability to group characters automatically allows the identification of whole words. This improves the recognition performance significantly and avoids the misinterpretation of characters with similar appearances.

Find more information about Halcon here: https://mvtec.com

Find more information about Machine Vision here: http://advanceultravision.com/

Surface Inspection(Scratch Detection) for Bearing and Battery - DeeDiim Sensors

For more information on Surface Inspection and Scratch Detection here: http://www.deediim.com/en/index.php

For more information about Machine Vision here: http://advanceultravision.com/ 

Gocator Major UI Improvements - LMI Gocator

Gocator firmware 6.0 offers a number of major User Interface improvements to make your inspection process easier to develop, visualize, and more productive. Follow along as we show you practical examples in which these improvements prove to be useful.

Find more information about LMI Gocator here: https://lmi3d.com/

Find more information about Machine Vision here: http://advanceultravision.com/ 

Webinar: MVTec HALCON 20.11 New Features - MVTec Halcon

In this webinar, Mario Bohnacker, Technical Product Manager HALCON at MVTec, talks about all improvements and new features in HALCON 20.11.

Find more information about Halcon here: https://mvtec.com

Find more information about Machine Vision here: http://advanceultravision.com/

Gocator 3520 for High Resolution 3D Snapshot Scanning with Extended Field of View - LMI Gocator

Gocator 3520 is the latest addition to our 5-megapixel stereo snapshot series––featuring and extended field of view and the same high XY resolutions and short exposure times required to achieve fast, metrology-grade scanning and inspection of large objects.

The 3520 sensor delivers smart 3D snapshot scanning and inspection into many new applications including robot-driven quality control and stop-and-go part verification.

For more information visit https://lmi3d.com/gocator-3520-extended-fov-3D-snapshot-sensor

Find more information about LMI Gocator here: https://lmi3d.com/

Find more information about Machine Vision here: http://advanceultravision.com/ 

Deep Learning with Densely Segmented Supermarket Dataset - MVTec Halcon

The Densely Segmented Supermarket (D2S) dataset is a benchmark for instance-aware semantic segmentation in an industrial domain. It contains 21,000 high-resolution images with pixel-wise labels of all object instances.

Find more information about Halcon here: https://mvtec.com

Find more information about Machine Vision here: http://advanceultravision.com/

Introduction to image filters with MVTec HALCON - MVTec Halcon

In this tutorial, you’ll learn about some of the most commonly used image filters in MVTec HALCON, how they work, and what they can be used for. First, we’ll have a look at some smoothing filters, in particular mean_image and median_image, and how filter masks work. 

Then, you’ll get to know some arithmetic filters, like sub_image, invert_image, and scale_image. Next, we have a look at many different applications that we can solve with these filters. Lastly, you’ll learn about what to look out for when using filters on images with reduced domains. 

0:28 How mean_image and median_image work

2:26 Some examples for arithmetic filters

2:57 Application examples

5:25 Reduced domains and image filters

In this tutorial, HALCON 20.05 is used.

Find more information about Halcon here: https://mvtec.com

Find more information about Machine Vision here: http://advanceultravision.com/