This work presents a suitable solution to get innervolumetric 3-dimensional data of an Additive Manufacturing (AM) process. The necessary image capturing and generating of singlelayer pointclouds is presented. The subsequent pointcloud composition to an objectpointcloud is also explained. The sensor system is implemented and evaluated in a Fused Filament Fabrication (FFF) manufacturing machine. The captured innervolumetric data represents informations about internal structures of the manufactured object and might be a possibility to qualify the manufacturing process. Potential quality features could be geometry dimensions, surface roughness or other manufacturing defects. These informations could control a quality control loop and subsequently improve the manufacturing process.