Based on the Geometric Characteristics of Binocular Imaging for Yarn Remaining Detection

The automated detection of yarn margins is crucial for ensuring the continuity and quality of production in textile workshops. Traditional methods rely on workers visually inspecting the yarn margin to determine the timing of replacement; these methods fail to provide real-time data and cannot meet...

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Bibliographic Details
Main Authors: Ke Le, Yanhong Yuan
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/25/2/339
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