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<p>Computer vision approach allows computers to perceive and analyze the visual world, mimicking human vision and comprehension of their surroundings by understanding visual information from images and videos. In this paper the above mentioned method has been utilized to provides a robust and cost-effective solution for detecting ladle shroud misalignment angles which significantly impacting the quality and operational efficiency of the metal casting process, apart from other capabilities like object detection, facial recognition, edge detection, pattern recognition, image classification, and feature matching. Camera-based detection offers a simpler solution comparing to other sensors, with a basic computer vision algorithm employed to achieve 3D correspondence of the shroud.</p>

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Application of high performance optical imaging technique for resolving misalignment problem in metal casting: a computer vision approach

  • 期刊论文

  • 发表日期：

    2025年12月10日

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  • Arijit Das,
  • Payal Bhardwaj,
  • Bitra Eswaramma,
  • Ram Krishna Sarkar,
  • Rudra Sankar Dhar,
  • Manoj Kumar Dutta

摘要

Computer vision approach allows computers to perceive and analyze the visual world, mimicking human vision and comprehension of their surroundings by understanding visual information from images and videos. In this paper the above mentioned method has been utilized to provides a robust and cost-effective solution for detecting ladle shroud misalignment angles which significantly impacting the quality and operational efficiency of the metal casting process, apart from other capabilities like object detection, facial recognition, edge detection, pattern recognition, image classification, and feature matching. Camera-based detection offers a simpler solution comparing to other sensors, with a basic computer vision algorithm employed to achieve 3D correspondence of the shroud.