An in-camera data stream processing system for defect detection in web inspection tasks

被引:16
|
作者
Hajimowlana, SH [1 ]
Muscedere, R
Jullien, GA
Roberts, JW
机构
[1] Univ Windsor, VLSI Res Grp, Windsor, ON N9B 3P4, Canada
[2] DALSA Inc, Waterloo, ON N2V 2E9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1006/rtim.1998.0145
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One of the aims of industrial machine vision is to develop computer and electronic systems to replace human vision in quality control of industrial production. Traditionally these systems consist of a line scan camera, host computer, frame grabber and one or more dedicated processing boards. In this paper we discuss the development of a new integrated design environment, developed for real-time defect detection, that eliminates the need for an external frame grabber and other associated host computer peripheral systems. The processing board contains a reconfigurable field programmable gate array (FPGA) inside a DALSA CCD camera. The FPGA is directly connected to the video data-stream and outputs data to a low bandwidth output bus. The system is targeted for web inspection but has the potential for broader application areas. We describe and show test results of the in-camera prototype system board ana-discuss some of the algorithms currently simulated and implemented for web inspection applications. (C) 1999 Academic Press.
引用
收藏
页码:23 / 34
页数:12
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