Design and implementation of real time image inspection system

2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014) Pub Date : 2014-08-01 DOI:10.1109/ICAETR.2014.7012897

P. Tiwari

{"title":"Design and implementation of real time image inspection system","authors":"P. Tiwari","doi":"10.1109/ICAETR.2014.7012897","DOIUrl":null,"url":null,"abstract":"With the rapid development of the embedded system, semiconductor technology and Image processing, the embedded Image processing has found widespread acceptance in mobile applications like video streaming, smart cameras, target tracking, vehicle navigation, smart traffic light systems and Biometrics. The implementation of image processing algorithms is computationally intensive and resource exhaustive. The system engineer has a mandate to optimize these algorithms so as to meet real time deadlines on an embedded processor. The designed system implements different real time image processing algorithms such as LPF, HPF, Threshoding, Template Matching on WINDOWS-XP and verified on WINDOWS 7 using Microsoft Visual Studio IDE VC++, further algorithms are implemented on Linux real time operating system(RTOS). The system uses the code optimization method to improve execution time for Viola Jones face detection algorithm. The design and implementation of real time image inspection system is based on the BeagleBoard-xM, a low cost ARM processor. This approach reduces size, efficiency, cost, time and power consumption etc. for Industrial control system based on real time image inspection system.","PeriodicalId":196504,"journal":{"name":"2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAETR.2014.7012897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

With the rapid development of the embedded system, semiconductor technology and Image processing, the embedded Image processing has found widespread acceptance in mobile applications like video streaming, smart cameras, target tracking, vehicle navigation, smart traffic light systems and Biometrics. The implementation of image processing algorithms is computationally intensive and resource exhaustive. The system engineer has a mandate to optimize these algorithms so as to meet real time deadlines on an embedded processor. The designed system implements different real time image processing algorithms such as LPF, HPF, Threshoding, Template Matching on WINDOWS-XP and verified on WINDOWS 7 using Microsoft Visual Studio IDE VC++, further algorithms are implemented on Linux real time operating system(RTOS). The system uses the code optimization method to improve execution time for Viola Jones face detection algorithm. The design and implementation of real time image inspection system is based on the BeagleBoard-xM, a low cost ARM processor. This approach reduces size, efficiency, cost, time and power consumption etc. for Industrial control system based on real time image inspection system.

查看原文本刊更多论文

实时图像检测系统的设计与实现

随着嵌入式系统、半导体技术和图像处理技术的快速发展，嵌入式图像处理技术在视频流、智能摄像头、目标跟踪、车辆导航、智能交通灯系统和生物识别等移动应用中得到了广泛的应用。图像处理算法的实现需要大量的计算和资源。系统工程师的任务是优化这些算法，以满足嵌入式处理器的实时要求。设计的系统在WINDOWS- xp上实现了LPF、HPF、Threshoding、Template Matching等不同的实时图像处理算法，并使用Microsoft Visual Studio IDE vc++在WINDOWS 7上进行了验证，进一步的算法在Linux实时操作系统(RTOS)上实现。该系统采用代码优化的方法来提高维奥拉琼斯人脸检测算法的执行时间。实时图像检测系统的设计与实现基于低成本ARM处理器BeagleBoard-xM。该方法降低了基于实时图像检测系统的工业控制系统的体积、效率、成本、时间和功耗等。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014)

自引率

0.00%

发文量