A Computer Vision-Based Long-term Monitoring Framework for Biobased Materials

Abstract

In this paper, we describe an automated remote monitoring system to uncover the impact of environmental phenomena on 3D printed bio-polymers behaviour and lifespan. The novel fully automated in-service framework allows for long-term monitoring with a wide range of wired and optical sensors and to correlate and analyse the gathered data. A focus is set on non-invasive measurements with Computer Vision technology. Here we introduce a computational image pipeline that allows for automated analysis and feedback on monitored bio-composite samples and assemblies. The framework is easily deployable, cloud-based, and accessible remotely. We evaluate the function and reliability of the framework in two design cases indoors and outdoors and gather insight for future practice with bio-based materials on both design and in-service levels.