arXiv:2507.01074eess.IVcs.CV2025-07中稿 · i-ESA 2024 12th In…被引 1

用中红外OCT检测材料内部缺陷,实现无损工业质检

MID-INFRARED (MIR) OCT-based inspection in industry

  • 采用中红外OCT穿透复合材料与陶瓷,探测内部异常
  • 结合AI视觉算法可识别分析对象中的异常区域
  • 适合需要无损检测的制造业场景

本文旨在评估中红外光学相干断层扫描(MIR OCT)系统在穿透多种材料并检测其内部缺陷方面的应用潜力,为生产过程监控提供非破坏性检测手段。本探索性研究对复合材料和陶瓷样品进行了多组采集,以评估系统性能。同时,探讨了适用于异常检测的预处理方法与人工智能增强的视觉算法。研究还讨论了最优参数选择的限制条件,并分析了该技术的优势与局限性。

原文摘要 · Abstract (English)

This paper aims to evaluate mid-infrared (MIR) Optical Coherence Tomography (OCT) systems as a tool to penetrate different materials and detect sub-surface irregularities. This is useful for monitoring production processes, allowing Non-Destructive Inspection Techniques of great value to the industry. In this exploratory study, several acquisitions are made on composite and ceramics to know the capabilities of the system. In addition, it is assessed which preprocessing and AI-enhanced vision algorithms can be anomaly-detection methodologies capable of detecting abnormal zones in the analyzed objects. Limitations and criteria for the selection of optimal parameters will be discussed, as well as strengths and weaknesses will be highlighted.

工业检测OCT中红外缺陷检测

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