基于RISC-V扩展指令的车牌识别协处理器设计  

Design of license plate recognition co-processor based on RISC V extended instructions

作　　者：赵晨旭 曲英杰[1] 王海婷 ZHAO Chenxu;QU Yingjie;WANG Haiting(College of Information Science and Technology,Qingdao University of Science and Technology,Qingdao 266061,China)

机构地区：[1]青岛科技大学信息科学技术学院,青岛266061

出　　处：《集成电路与嵌入式系统》2025年第4期47-53,共7页Integrated Circuits and Embedded Systems

基　　金：国家自然科学基金青年项目-基于光刻有机场效应晶体管构筑高集成类皮肤人工触觉神经系统(62204136)。

摘　　要：随着智能交通系统的发展,车牌识别系统已经从传统PC平台转为便携式的嵌入式终端,对现有的车牌识别系统的精度、速度以及安全性提出了更高的要求。RISC-V是一款具有开源、精简、高效、低功耗、模块化等优点的指令集架构,具有高度灵活性。本文设计了一种基于蜂鸟E203 RISC-V处理器的车牌识别系统,并采用改进的基于八方向的Sobel算子高精度边缘检测算法,在达芬奇PRO开发板上搭建系统进行硬件实现。实验结果表明,该系统识别正确率为97%,平均识别时间在46 ms左右,具有较高的识别准确率和实时性,与传统的车牌识别系统相比,该系统具有较高性价比。With the development of intelligent transportation systems,license plate recognition systems have transitioned from traditional PC platforms to portable embedded terminals,thereby imposing higher demands on the accuracy,speed,and security of existing license plate recognition systems.RISC V is an instruction set architecture characterized by being open-source,streamlined,efficient,low-power,and modular,offering a high degree of flexibility.In this paper,a license plate recognition system based on the Hummingbird E203 RISC-V processor is designed,utilizing an improved eight-direction Sobel operator for high-precision edge detection.The system is implemented on the Da Vinci PRO development board.The experimental results show that the system has a recognition accuracy rate of 96%,with an average recognition time of around 45 ms.It demonstrates high recognition accuracy and real-time performance.Com-pared to traditional license plate recognition systems,this system offers better performance.

关 键 词：蜂鸟E203 RISC-V 车牌识别 边缘检测 FPGA 

分 类 号：TN492[电子电信—微电子学与固体电子学]