Research on Image Recognition Technology Based on Artificial Intelligence under Computer Big Data

Li Linjun
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引用次数: 0

Abstract

This paper develops a remote video monitoring system based on ARM; the hardware of the system is based on the ARM S3C2440 embedded chip, and the circuit structure of the main modules such as power supply, Ethernet interface, JTAG interface, and data storage of the hardware system is designed; The software of the system uses Linux as the operating system, uses Video4 Linux to complete video image acquisition, uses JPEG image compression technology to realize video compression processing, and uses real-time transmission protocol RTP to realize video image encapsulation, network transmission, and control. The experimental results show that the method can simultaneously perform real-time online detection of various anomalies such as occlusion, blurring and scene switching that suddenly appear in remote video surveillance, and the accuracy rate can reach 88.75%.
计算机大数据下基于人工智能的图像识别技术研究
本文开发了一个基于ARM的远程视频监控系统;系统硬件以ARM S3C2440嵌入式芯片为基础,设计了硬件系统的电源、以太网接口、JTAG接口、数据存储等主要模块的电路结构;系统软件采用Linux作为操作系统,采用Video4 Linux完成视频图像采集,采用JPEG图像压缩技术实现视频压缩处理,采用实时传输协议RTP实现视频图像封装、网络传输和控制。实验结果表明,该方法可以同时对远程视频监控中突然出现的遮挡、模糊、场景切换等各种异常进行实时在线检测,准确率可达88.75%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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