Robotics & Machine Learning Daily News2024,Issue(Oct.3) :72-72.

University of Beira Interior Researcher Adds New Study Findings to Research in M achine Learning (Toward Automated Fabric Defect Detection: A Survey of Recent Co mputer Vision Approaches)

Robotics & Machine Learning Daily News2024,Issue(Oct.3) :72-72.

University of Beira Interior Researcher Adds New Study Findings to Research in M achine Learning (Toward Automated Fabric Defect Detection: A Survey of Recent Co mputer Vision Approaches)

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Abstract

2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news reporting from the University of Beira Interior by NewsRx journalists, research stated, "Defect detection is a crucial part of the pipeline in many industries." Funders for this research include Nextgenerationeu Program; Fct/mctes. The news journalists obtained a quote from the research from University of Beira Interior: "In the textile industry, it is especially important, as it will affe ct the quality and price of the final product. However, it is mostly performed b y human agents, who have been reported to have poor performance, along with requ iring a costly and time-consuming training process. As such, methods to automate the process have been increasingly explored throughout the last 20 years. While there are many traditional approaches to this problem, with the advent of deep learning, machine learning-based approaches now constitute the majority of all p ossible approaches. Other articles have explored traditional approaches and mach ine learning approaches in a more general way, detailing their evolution over ti me."

Key words

University of Beira Interior/Computers/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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