In his dissertation, Martin Rudorfer proposes a prototypic service-based framework for object detection and pose estimation in manufacturing industries. It combines the architectural style and computing capabilities of existing cloud vision APIs with specific, industry-relevant machine vision algorithms. It has the potential to make robotic applications more flexible and foster the automation of high-mix low-volume production.