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

Author

Zhao, Zhenhua ; Yang, Weifa ; Wang, Na ; Xu, Zijie

Author_Institution

Sch. of Electr. & Inf. Eng., Wuhan Inst. of Technol., Wuhan, China

fYear

2010

fDate

25-27 June 2010

Firstpage

62

Lastpage

65

Abstract

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.

Keywords

cache storage; clothing industry; computer vision; feature extraction; field programmable gate arrays; image sensors; machine control; reduced instruction set computing; textile industry; textile products; timing; FIFO memory; FPGA; OV7620 image sensor; Samsung´s ARM7 chip S3C44B0; cloth belt; data cache; hardware design; machine vision; production core processor; production efficiency; textile defect detection system; textile product; textile production line; timing control; Clocks; Machine vision; Microprocessors; Production; Random access memory; Streaming media; Timing; S3C44B0; defect detection; machine vision;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6880-5

Type

conf

DOI

10.1109/iCECE.2010.23

Filename

5630367