Embedded machine vision sensor with portable imaging device and high durability

Abstract

Machine vision sensors face challenges in automating the monitoring of internal structural damage and deformation, with limited lifespan and resolution accuracy. This paper develops a high-durable machine vision strain sensor, MISS-Silica. The sensor's durability is enhanced through materials, processes, and algorithms, ensuring its lifespan aligns with that of the structure. It combines an endoscope with a smartphone, eliminating the need for fixed camera positioning, and enables embedded strain measurement. With sub-pixel accuracy, the sensor reduces reliance on camera resolution and has a measurement range of 0.05$\epsilon$, covering all stages from loading to failure. The results demonstrate that MISS-Silica provides a reliable, accurate, and durable solution for long-term structural health monitoring. Future research will explore its application in diverse environments, refine miniaturization, and improve real-time, large-scale monitoring capabilities.