MID-INFRARED (MIR) OCT-based inspection in industry
This work addresses non-destructive inspection for industrial production monitoring, but it is exploratory and incremental in nature.
The paper evaluated mid-infrared optical coherence tomography (MIR-OCT) systems for penetrating materials like composites and ceramics to detect sub-surface irregularities, assessing preprocessing and AI-enhanced vision algorithms for anomaly detection.
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.