Optimal Artificial Neural Network-based Fabric Defect Detection and Classification
Nesamony Sajitha,
Srinivasan Prasanna Priya
Abstract:Automated Fabric Defect (FD) detection plays a crucial role in industrial automation within fabric production. Traditionally, the identification of FDs heavily relies on manual assessment, facilitating prompt repairs of minor defects. However, the efficiency of manual recognition diminishes significantly as labor working hours increase. Consequently, there is a pressing need to introduce an automated analysis method for FD recognition to reduce labor costs, minimize errors, and improve fabric quality. Many res… Show more
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