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

In this paper we describe an automated remote monitoring system to uncover the impact of environmental phenomena on 3D printed biopolymers 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 analyze 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 practices with bio-based materials on both design and in-service level.