
Aprendizagem por computador com base na visão na aciaria: Tecnologia de aprendizagem de máquinas baseada em visão por computador para melhorar a produção na aciaria
작성자
Gedela Praveen
아직 평점이 없습니다
Science & Technology
형식
페이퍼백
페이지
68
언어
포르투갈어
출판됨
May 26, 2022
출판사
Edições Nosso Conhecimento
ISBN-10
6204800817
ISBN-13
9786204800813
설명
The work delves into the transformative potential of Computer Vision Machine Learning (CVML) within the steelmaking industry. By exploring the intersection of advanced machine learning techniques and visual processing, the authors highlight how these innovations can significantly enhance production efficiency and quality in steel manufacturing processes.
Gedela Praveen and Sanjay V. Gurme meticulously examine various case studies and applications of CVML, providing real-world examples of its successful implementation. Their analysis focuses on how visual data can be harnessed to optimize operations, reduce waste, and improve decision-making in high-stakes production environments.
As industries increasingly seek smarter solutions, this exploration offers valuable insights into integrating cutting-edge technology into traditional manufacturing settings. With a clear focus on practical applications, the authors aim to bridge the gap between theoretical advancements and their real-world implications.
Ultimately, this comprehensive examination serves as a critical resource for professionals and researchers in engineering, manufacturing, and technology, urging them to embrace innovative approaches for a more efficient and sustainable future in steel production.
Gedela Praveen and Sanjay V. Gurme meticulously examine various case studies and applications of CVML, providing real-world examples of its successful implementation. Their analysis focuses on how visual data can be harnessed to optimize operations, reduce waste, and improve decision-making in high-stakes production environments.
As industries increasingly seek smarter solutions, this exploration offers valuable insights into integrating cutting-edge technology into traditional manufacturing settings. With a clear focus on practical applications, the authors aim to bridge the gap between theoretical advancements and their real-world implications.
Ultimately, this comprehensive examination serves as a critical resource for professionals and researchers in engineering, manufacturing, and technology, urging them to embrace innovative approaches for a more efficient and sustainable future in steel production.