A low-cost PCF-based optical sensing framework for automated dental shade matching
摘要
In this paper, an automated, cost-effective, and non-invasive dental shade-matching framework is proposed by integrating photonic crystal fiber (PCF) based optical sensing with advanced spectral analysis techniques. A low-cost ESP32 microcontroller is employed with a PCF reflectance probe to capture tooth spectra, which are compared against standard shade guides such as VITA Classic. An algorithm is proposed that utilizes a Euclidean distance-based method to identify the closest dental shade, enabling accurate and reliable color matching in the prosthetic process. Simulated results are presented to demonstrate the effectiveness of the proposed dental color-matching framework.