This white paper will detail how machine vision—the automated computerized process of acquiring and analyzing digital images primarily for ensuring quality, tracking, and guiding production—benefits from deep learning as the latter is making the former more accessible and capable.
Aktuelle Technik, December 2020
Matrox Imaging’s machine learning technology transforms quality assessment from human to machine-based, with dramatic improvements.
“STIHL has been using Matrox Imaging software, components, and systems for a number of years. Deep learning technology extends the field of image processing, in which conventional image processing yields inadequate results. Implementation of this new system—one that effectively deploys deep learning—has replaced objective visual processes that STIHL had in place. As a result, we anticipate great improvements in our efficiency, with the ability to perform new tasks, ensuring an overall improvement in the quality of our products.”
Alexander Fromm, Automation Systems Engineer, STIHL Group
Matrox® Imaging today reveals the forthcoming release of a new addition to its renowned Matrox Rapixo CXP series of frame grabbers.
"Thanks to Matrox Imaging’s machine vision tools, we can now be fully confident in delivering a precise processing path for machining, and improve customer yield rates while guarding them against material loss with this CNC upgrade."
Steven Ko, Technical Marketing Manager, G4 Technology
Matrox Imaging’s robust vision software and smart camera endows CNC machine to ensure precision cuts, enhance yield rates.
Deliver precision measurements in record time using Matrox Imaging software and vision controller built into an automated mounting system.