Maintaining consistent quality in pharmaceutical manufacturing is especially challenging in the manual production of gene therapeutics, where operator interactions within isolator environments play a crucial role. Traditional methods rely on manual documentation or basic video monitoring using single or multi-camera setups. Such approaches are limited in accuracy and scalability. This study proposes a novel framework that replaces conventional image analysis with advanced computer vision and real-time 3D modeling. By reconstructing operator actions in three dimensions, the system offers enhanced spatial precision and a richer interpretation of quality-relevant parameters.