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作 者:杨磊 YANG Lei(Anhui Vocational and Technical College,Hefei,Anhui 230000,China)
机构地区:[1]安徽职业技术学院汽车工程学院,安徽合肥230000
出 处:《九江学院学报(自然科学版)》2021年第3期71-74,共4页Journal of Jiujiang University:Natural Science Edition
基 金:2019年度安徽高校自然科学研究重点项目(编号KJ2019A0990)的成果之一。
摘 要:针对交通监控图像处理系统在硬件设计方面存在的实时通信不及时和数据处理能力弱等问题,文章提出了基于Cortex-M3处理器的交通监控图像处理系统的硬件设计,采用了ARM32位的CortexTM-M3 CPU,即STM32F103RCT6模块,最高72MHz工作频率;采用了OV7670带有FIFO功能的图像采集模块,液晶显示器采用了TFT的2.8英寸显示屏,通过按键可对存储的内容进行查看。同时设计了适合硬件的程序,文中详细描写了程序流程图,给出具体设计思路。最后结合软硬件进行样机实验,实验结果表明识别结果准确,信息存储完整,该系统效果达到了预期。Existing traffic monitoring hardware design had problems,such as untimely real-time communication and weak data processing capabilities.This paper presented the hardware design of a traffic monitoring image processing system based on Cortex-M3 processor.We used ARM 32-bit CortexTM-M3 CPU,which was STM32F103RCT6 module with a maximum operating frequency of 72MHz.The OV7670 image acquisition module with FIFO function was adopted,and the liquid crystal display adopted a 2.8-inch TFT display,where the stored content could be checked by pressing the button.At the same time,a program suitable for hardware was designed,and the program flow chart was described in detail in the article,as well as specific design ideas were given.Finally,a prototype experiment was carried out.The experimental results showed that the recognition result was accurate and the information was stored intact.The system had achieved the expected basic effect.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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