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Machine Vision Software

Photonics.com
May 2018
MVTec Software GmbHRequest Info
 
MUNICH, May 1, 2018 — HALCON 18.05 machine vision software from MVTec Software GmbH offers several improvements that further increase the usability of machine vision processes.

The use of a pretrained convolutional neural network (CNN) is now running on CPUs for the first time. In particular, this inference has been highly optimized for Intel-compatible x86 CPUs. A standard Intel CPU can reach the performance of a midrange graphic processor with a runtime of approximately 2 ms. The operational flexibility of systems can therefore be significantly increased. For example, industrial PCs, which usually do not utilize powerful GPUs, can now be used for deep learning-based classification tasks without any problems.

In addition, the new HALCON version also offers several other improvements that further increase the usability of machine vision processes. Enhanced functions for deflectometry, for instance, improve the precision and robustness of error detection for objects with partially reflective surfaces.


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