Neural Networks — The Future of Industrial Image Processing?
In our new White Paper “Are Neural Networks the Future of Machine Vision?,” authors Peter Behringer and Dr. Florian Hoppe describe what neural networks are, how they can be used and what is required for them to work effectively — namely, comprehensive training. There are several steps involved with developing a neural network, from the collection of image data and design of the network to the execution of the learning algorithm and final evaluation and commissioning.
We explain why the FPGA-based PowerPack for Embedded Vision represents the optimal Vision System architecture for executing deep learning algorithms. We also highlight other benefits of the BCON for LVDS interface in coordination with neural networks.
This White Paper was created in cooperation with Twenty Billion Neurons GmbH. TwentyBN specializes in the development of neural networks and the use of deep learning technologies. It is one of the partner software firms in the Basler partner network.