Conference Agenda
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IMA+GD&T: Image Processing & Applications + Geometric Dimensioning, Tolerancing & Inspection Location: B8.1.2 Session Chair: Prof. Ilaria Cristofolini, University of Trento Session Chair: Prof. Rocco Furferi, UNIFI | |
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Augmented Reality module for Assisted Visual Inspection of textile defects. 1: Università di Firenze, Italy; 2: Manteco S.p.a. Defect detection on newly produced textiles is traditionally performed through human Visual Inspection, a process inherently prone to fatigue and subjective bias. This paper presents an Assisted Visual Inspection (AVI) prototype designed to seamlessly integrate an intelligent computer vision module into existing industrial fabric inspection lines. A down-scaled operational mockup was engineered to provide a robust physical platform for mounting the module's components and performing real-time tests. The core of the vision module utilises Meta's DINOv3 model, implementing a self-supervised, few-shot learning framework that exploits the spatial periodicity of uniform textile patterns. This approach dynamically creates a "gold standard" reference of defect-free fabric, enabling the detection of unseen anomalies without the need for extensive, pre-labelled training datasets. Preliminary results demonstrate that the module effectively flags anomalies in real-time, halting the line to project an Augmented Reality (AR) defect mask directly onto the fabric, thereby significantly boosting the reliability of human-in-the-loop inspection. | |