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International Journal of Media and Networks(IJMN)

ISSN: 2995-3286 | DOI: 10.33140/IJMN

Impact Factor: 1.02

Randitha Senarathne

SLTC Research University, Ingiriya Road, Meepe, Sri Lanka

Publications
  • Research Article   
    Fabric Inspection Using Computer Vision
    Author(s): Randitha Senarathne* and Rusitha Thennakoon

    The textile industry is one of the basic parts of global manufacturing and is about to undergo a significant metamorphosis with the rise in technologies of artificial intelligence and computer vision. Traditionally, fabric inspection has been labor-intensive, requiring a lot of time and highly critical eyes for spotting defects, making it a process often blemished by human error. The advent of AI-enabled technology is allowing textile producers to implement automated inspection systems that enhance efficiency and raise quality benchmarks. This shift not only increases productivity but also guarantees uniformity in production by minimizing defects, ushering in a new age of intelligent manufacturing. In this project, we developed a fabric inspection system based on computer vision with the YOLOv8 model. Our approach was trained on a dataset containing most frequent fabric defe.. Read More»

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