The Long-term monitoring framework for assembly is a novel, fully automated algorithm that enables tracking changes in an assembly or set of panels using computer vision. 

Focusing on assemblies, we introduce a framework that tracks changes across panels. Due to the different nature of changes in biobased materials, the pipeline bifurcates into two methods: Baseline Analysis and Sequential Analysis. The baseline analysis compares each change with the initial state of the panels to track permanent changes. In contrast, the sequential analysis compares each change with the previously captured data to track temporary changes, and the triggering system for repairs based on these changes is defined accordingly.