Benefitting from deep learning at SPS IPC Drives 2017

26th October 2017
Posted By : Lanna Cooper
Benefitting from deep learning at SPS IPC Drives 2017


At this year's SPS IPC Drives trade show, MVTec Software will be presenting its portfolio from 28th-30th November. The company will be at the VDMA pavilion at booth 151 in hall 3A where visitors can find out more about the new releases HALCON 17.12 and MERLIC 3 - with a focus on the innovative deep learning functionality.

The new HALCON version offers a large selection of standardised functions for the immediate application of deep learning. Users can now train Convolutional Neural Networks (CNNs) on their own with a reasonable effort and expense.

In-depth machine vision knowledge is not required. In addition, companies also save time and money for programming. Through sample applications, visitors can experience this feature live at the booth and can learn more about deep learning by watching a recently produced video presentation.

Live demonstration: How OCR applications benefit from deep learning
The features of the current version MERLIC 3 will also be presented at the booth. Thanks to this software, it is now even easier, more comfortable, and more user-friendly to create professional applications for machine vision.

A practical example is highlighted in a live demo: It shows how new machine vision functions optimise optical character recognition (OCR) applications. Thereby, MERLIC 3 can use deep learning technologies to precisely detect various fonts on packaging, such as expiry dates or batch numbers.

Moreover, the demo also provides viewers with insights into how MERLIC can be used to seamlessly integrate a Programmable Logic Controller (PLC) and view the remote front end on a mobile platform.

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