Using Deep Learning in Machine Vision

01.02.2018 -

More and more, machine vision systems are expected to make dynamic, automated decisions based on variable conditions. The amount of time and effort to develop these systems can be daunting. Today, the advent of deep learning is changing this landscape and putting automation within the reach of many. Resources such as open-source libraries, Nvidia hardware, and FLIR cameras are helping to make this change happen. FLIR cameras have advanced features that minimize the image pre-processing required for neural network training, work seamlessly with platforms such as NVidia Jetson TX-2 and Drive PX 2, and offer 24/7 reliability for trouble-free deployment.

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Flir Systems GmbH

Berner Strasse 81
60437 Frankfurt am Main
Germany

+49 69 950090 0
+49 69 950090 40

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Top Feature

Vote now at the inspect award 2022 and choose the best machine vision products.

Vote Now!

Digital tools or software can ease your life as a photonics professional by either helping you with your system design or during the manufacturing process or when purchasing components. Check out our compilation:

Proceed to our dossier