1999
DOI: 10.1117/12.364273
|View full text |Cite
|
Sign up to set email alerts
|

<title>Real-time defect detection on cloths</title>

Abstract: The detection and classification of defects is strongly useful for stopping in real time the cloth production when degenerative defects occur; for increasing the efficiency of production by limiting the decrement of price for cloth rolls. The paper describes the work performed for detecting defect of well-known manufacturers of cloths and machine builders for cloths (looms). The main goal has been to obtain a new and innovative production line endowed with a system for detecting defects in real-time. The syste… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2000
2000
2020
2020

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…Later, some preventive works were planned. Baldassarre et al [16] worked on a loom equipped with an online monitoring device that may be stopped when degenerative defects are detected. Thus, by fabric inspection and defect recording, the occurrence of loom stoppage can be reduced.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Later, some preventive works were planned. Baldassarre et al [16] worked on a loom equipped with an online monitoring device that may be stopped when degenerative defects are detected. Thus, by fabric inspection and defect recording, the occurrence of loom stoppage can be reduced.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Nowadays the importance of quality control in all these processes is growing up: in order to compete with low cost product (due to the use of low cost labour), the production of very high quality cloth is the main goal of cloth companies [1][2][3][4][5][6][7][8][9][10][11][12][13] . A quality control has thus to achieve these following steps: 1.…”
Section: Introductionmentioning
confidence: 99%