머신러닝 기반 분산형 광센서 및 초분광 센서의 산업현장 적용 사례

Learn about industrial applications of machine learning-based distributed optical sensors and hyperspectral sensors in this technical conference talk from SK TECH SUMMIT 2022. Discover how distributed optical sensor solutions analyze scattered light data from laser pulses through fiber optic cables to detect changes in temperature, density, and pressure. Explore hyperspectral sensor technology that analyzes reflected light energy across visible and near-infrared wavelength bands. Through real-world case studies presented by SK Planet's software engineer Kim Hyung-seok, gain insights into how these advanced sensing technologies are being implemented in industrial settings. Drawing from 10 years of IoT experience, the speaker shares how machine learning and deep learning systems are being used to manage industrial safety environments and perform real-time product defect detection across various manufacturing applications.