集成电路与嵌入式系统2026，Vol.26Issue(2)：43-52,10.DOI:10.20193/j.ices2097-4191.2025.0114
基于国产FPGA与类ASIC架构的图像识别系统
Image recognition system based on domestic FPGA and ASIC structure
陈冠夫 1兰小磊 1陈镇城 1张艺豪 1陈林亮 1李赛1
作者信息
- 1. 北京航空航天大学 集成电路科学与工程学院,北京 100191
- 折叠
摘要
Abstract
This paper presents an embedded system based on a domestically produced FPGA and a self-designed ASIC-like architecture for real-time edge deployment.On the software side,a lightweight neural network named NexusEdgeNet is proposed.It achieves 94.22%accuracy on 39 farmland disease categories with only 0.184 MB of parameters.On the hardware side,an ASIC-like accelerator fully described in Verilog is designed.It adopts a distributed on-chip memory structure,eliminating external memory access,and sup-ports arbitrary-shaped convolution,pooling,and fully connected operations.Several optimization techniques are applied,including near-memory parallel computing,pipelining,sliding convolution windows,and double buffering.The accelerator reaches 399 f/s inference speed on the EP6HL130 FPGA,with 85%resource utilization and significantly reduced logic consumption.The system integrates image acquisition,processing,and display,supporting real-time video stream recognition.It maintains high accuracy while achieving excellent real-time performance and resource efficiency.This work provides a practical,low-cost solution for edge computing applications based on domestic FPGAs.关键词
FPGA/神经网络处理器/硬件加速/边缘计算/图像识别Key words
FPGA/neural processing unit/hardware acceleration/edge computing/image recognition分类
信息技术与安全科学引用本文复制引用
陈冠夫,兰小磊,陈镇城,张艺豪,陈林亮,李赛..基于国产FPGA与类ASIC架构的图像识别系统[J].集成电路与嵌入式系统,2026,26(2):43-52,10.
