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@article{164284,
        author = {Ankita Kadole},
        title = {Assessment of Artificial Intelligence Technologies in Fabric Defect Analysis.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {10},
        number = {12},
        pages = {3111-3114},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164284},
        abstract = {In 1975 reviews were completed which demonstrates that inadequate or incorrect assessment of fabric that brought about fabric defects being disregarded, which thus had extraordinary effect on the quality and consequent expenses of the texture/fabric completing and piece of clothing producing forms. In day by day life picture examination methodologies are logically used to robotize the identification of texture deformities and it turns into an essential assignment because of the generally utilized material. The procedure in which the fabric defects are conceivable to be distinguished effectively is known as fabric defect recognition process. The significant reasons for flaws resemble weakness and fine imperfections visual human examination prompts regular blunders. Hence these errands computerization diminishes work expenses and improve quality. Along these lines by the material business, there are more than 70 sorts of defected fabrics and the achievement rate of around 60% to 75% is practiced by human texture evaluation.},
        keywords = {},
        month = {July},
        }