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Proceedings Paper

Quality control in cloth production: a new system for real-time defect detection
Author(s): Antonio Baldassarre; Maurizio De Lucia; Francesca Rossi; Massimiliano Vannucci
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Paper Abstract

Real time defect detection on fine cloth is an urgent problem to solve: detecting a long and serious defect on a roll, as soon as it is produced, can reduce damages to the roll, and the consequent decrement of price. The paper describes the work performed at the Department of Energy Engineering `Sergio Stecco' of the University of Florence, in collaboration with well-known high quality wool cloth manufacturers (Marzotto) and machine builders (Sulzer, Benninger). The main goal has been to obtain a new and innovative production line, endowed with a system (based on image processing techniques) for detecting defects in real- time and thus for controlling the production process. The system is based on image processing techniques with a special attention to the real-time constraints. An architecture separating an on-line defect detection and an off-line classification has been proposed. An intelligent optical head, assembled on the loom, acquires images and detects the defects in real-time. A server has the offline task to classify each defect detected by the head. The system has been tested on a real loom, with good results in terms of reliability, false alarms and stability.

Paper Details

Date Published: 2 February 2001
PDF: 10 pages
Proc. SPIE 4191, Sensors and Controls for Intelligent Manufacturing, (2 February 2001); doi: 10.1117/12.417246
Show Author Affiliations
Antonio Baldassarre, Univ. of Florence (Italy)
Maurizio De Lucia, Univ. of Florence (Italy)
Francesca Rossi, Univ. of Florence (Italy)
Massimiliano Vannucci, Univ. of Florence (Italy)


Published in SPIE Proceedings Vol. 4191:
Sensors and Controls for Intelligent Manufacturing
Peter E. Orban; George K. Knopf, Editor(s)

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