Browsing by Author "Muhammad Talha Qadri, Muhammad Faizan and Faizan Haider"

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    Fabric defect detection using computer vision
    (UMT, Lahore, 2024) Muhammad Talha Qadri, Muhammad Faizan and Faizan Haider
    CV procedures, tending to a basic need in Pakistan's material industry. We fostered a continuous defect location framework by tackling the force of DL, expecting to improve the quality control processes in material assembling. The center of this examination included the assortment of a thorough dataset straightforwardly from the assembling floors of different material enterprises particularly from Faisalabad and across Pakistan. The dataset, including a different scope of textures and deformity types, was carefully per-handled and named to work with viable model preparation. We utilized both pretrained models such YOLO_V9, InceptionV3, EfficientNet, ResNet-18 and U-Net and exceptionally assembled DL model for defect discovery. The pretrained models were adjusted to suit the particular prerequisites of texture defect location, while the custom models were creatively intended to catch the novel qualities of material deformities. These models were thoroughly prepared and approved utilizing our dataset, guaranteeing power and exactness. Introductory outcomes show a promising limit of the framework to precisely distinguish a wide cluster of texture deserts. These discoveries not just display the capability of CV in quality control yet additionally lay the preparation for additional innovative work in this field. Through this venture, we seek to add to the height of Pakistan's material industry, improving its effectiveness and worldwide seriousness through mechanical development