By Topic

A Hardware Design of Defect Detection System in Cloth Belt Based on Machine Vision

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Zhenhua Zhao ; Sch. of Electr. & Inf. Eng., Wuhan Inst. of Technol., Wuhan, China ; Weifa Yang ; Na Wang ; Zijie Xu

The paper introduces a hardware design method machine vision based of textile defect detection system. The system can effectively replace manual monitoring of textile production lines, which has greatly improved the production efficiency and automation. The system uses Samsung's ARM7 chip S3C44B0 as the production's core processor, using the FIFO memory to realize data cache of OV7620 image sensor, using a small FPGA to control the timing of the entire system. Thus, the system can accurately detect defects on textile products, such as the stains, holes, thread, etc., and then the machine automatically pauses and gives an alarm.

Published in:

Electrical and Control Engineering (ICECE), 2010 International Conference on

Date of Conference:

25-27 June 2010