Automatic system for yarn quality analysis by image processing

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Caldas, P (Author) Other; Sousa, F (Author) Other; Pereira, F (Author) Other; Lopes, H (Author) Other; Machado, J (Author) Other

Journal

Title: Journal of the Brazilian Society of Mechanical Sciences and Engineering

Vol. 44

ISSN: 1678-5878

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 0 Citations

Scopus

Other information

Authenticus ID: P-00X-F1B

DOI: 10.1007/s40430-022-03875-3

Abstract (EN): Yarn quality analysis is an issue that textile companies try to solve in a fast and automatic way. Nowadays, yarn quality analysis machines are available in the market, but those are not adequate for large-scale use due to their low versatility and huge dimensions. This paper presents the development of an automatic unwinding and winding system to verify yarn quality through image processing. The developed equipment can accurately move the yarn in front of the camera lens while keeping vibrations at an acceptable range. It supports different types of yarn and bobbins. Through an intuitive local HMI, users can control yarn quantity and velocity, monitoring and storage data in real-time, assuring user safety and system's security. The developed equipment provides a better performance and portability, and together with the application of image analysis, it permits the analysis of more parameters when compared to other commercial alternatives.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 25