Deep Neural Networks, as subsets of Machine Learning and Artificial Intelligence (AI), can efficiently solve complex computer vision problems such as image classification, object detection, image segmentation, and many others.

FPGAs are becoming a major player in the field of embedded AI applications due to their ability to implement complex neural networks with low power consumption and low latency and can also be used offline and on the edge.

Read how easy it is to port an AI application to a Xilinx Zynq UltraScale+ MPSoC based industrial standard System-on-Module (SOM): AI image processing with the Enclustra Mars XU3 module.