English

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

Image and Video Processing 2025-07-03 v1 Computer Vision and Pattern Recognition

Abstract

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.

Keywords

Cite

@article{arxiv.2507.01074,
  title  = {MID-INFRARED (MIR) OCT-based inspection in industry},
  author = {N. P. García-de-la-Puente and Rocío del Amor and Fernando García-Torres and Niels Møller Israelsen and Coraline Lapre and Christian Rosenberg Petersen and Ole Bang and Dominik Brouczek and Martin Schwentenwein and Kevin Neumann and Niels Benson and Valery Naranjo},
  journal= {arXiv preprint arXiv:2507.01074},
  year   = {2025}
}

Comments

Paper accepted at i-ESA 2024 12th International Conference on Interoperability for Enterprise Systems and Applications 6 pages, 2 figures, 2 tables

R2 v1 2026-07-01T03:42:09.971Z