dc.contributor.author |
Meliones, A |
en |
dc.contributor.author |
Baltas, D |
en |
dc.contributor.author |
Kammenos, P |
en |
dc.contributor.author |
Spinnler, K |
en |
dc.contributor.author |
Kuleschow, A |
en |
dc.contributor.author |
Vardangalos, G |
en |
dc.contributor.author |
Lambadaris, P |
en |
dc.date.accessioned |
2014-03-01T01:14:18Z |
|
dc.date.available |
2014-03-01T01:14:18Z |
|
dc.date.issued |
1999 |
en |
dc.identifier.issn |
0302-9743 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/12983 |
|
dc.subject |
Quality Control |
en |
dc.subject |
Product Line |
en |
dc.subject.classification |
Computer Science, Theory & Methods |
en |
dc.title |
A distributed vision network for industrial packaging inspection |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/BFb0100713 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/BFb0100713 |
en |
heal.language |
English |
en |
heal.publicationDate |
1999 |
en |
heal.abstract |
A distributed vision network is proposed to tackle industrial packaging inspection. The system consists of independent networked inspection stations able to address efficiently parallel inspection tasks such as product identification, character verification, tag inspection and content Be packaging quality control at a high production speed. Existing and innovative inspection algorithms such as synergetic classification have been adapted on the smart camera technology of the inspection stations. We present the benefits of the deployment of the system in the production lines of a pharmaceutical packaging facility. |
en |
heal.publisher |
SPRINGER-VERLAG BERLIN |
en |
heal.journalName |
HIGH-PERFORMANCE COMPUTING AND NETWORKING, PROCEEDINGS |
en |
heal.bookName |
LECTURE NOTES IN COMPUTER SCIENCE |
en |
dc.identifier.doi |
10.1007/BFb0100713 |
en |
dc.identifier.isi |
ISI:000088252100154 |
en |
dc.identifier.volume |
1593 |
en |
dc.identifier.spage |
1303 |
en |
dc.identifier.epage |
1307 |
en |