Based on the RTL implementation of this convolution ... in a system such as image recognition and machine-learning algorithms. This can lead to faster and more accurate processing of data at ...

For a computer system, UAV monitoring is a difficult task because the image processing ... Traditional CNN implementation on Xilinx Zynq FPGA requires heavy DSP48E2 slice usage for floating-point ...

In general, algorithm implementation into a front ... resource utilization or latency associated with image pre-processing (ROI finding and down-sizing). We note that, in the current stage, the ...

Abstract: Most image processing algorithms are regional ... paper is to develop an efficient architecture for the 2D convolution using control blocks. Hardware implementation of this 2D algorithm can ...

It used to be that the only processing device was an x86. Now almost all data centers have added both FPGA and GPU processors ... “Moving an algorithm from a CPU to a bespoke hardware implementation ...

Convolutional neural network (CNN) is an essential model to achieve high accuracy in various machine learning applications, such as image recognition and natural language processing ... evolving deep ...