Realization of convolutional neural network based on FPGA

YunXian Ji; ShuangJie Liu; YongPing Hao

doi:10.1117/12.2660023

3 February 2023 Realization of convolutional neural network based on FPGA

YunXian Ji, ShuangJie Liu, YongPing Hao

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 1251133 (2023) https://doi.org/10.1117/12.2660023
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

Aiming at the demand of visual detection equipment for miniature target detection system, in order to improve the calculation accuracy and speed of the target detection platform, a target detection method based on FPGA convolution neural network is developed. The characteristics of convolutional neural network and its structural characteristics are analyzed, Convolutional neural network is applied in micro target detection the appropriate convolutional neural network model is selected according to the requirements and the model parameters are obtained. This model can embed the algorithm into the hardware platform system with high performance FPGA chip as its underlying core structure, and can achieve efficient effect. The experimental results can also prove that the real-time performance of the calculation results in this paper is relatively good, and the processing workload of hardware transplantation is relatively small, which can achieve the effect of effectively detecting the target, solve the problem of high power consumption and insufficient realtime performance of the current special image processor (GPU), and meet the requirements of fast and accurate.

Citation Download Citation

YunXian Ji, ShuangJie Liu, and YongPing Hao "Realization of convolutional neural network based on FPGA", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 1251133 (3 February 2023); https://doi.org/10.1117/12.2660023

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