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.