Methods-Time Measurement (MTM) is often applied in industrial settings whenever any manual operation or task is performed during the manufacturing process. It is used to analyze and optimize motion sequences of workers and thereby determine standard times in which a worker can complete the individual tasks. Thus one of the basic requirements of MTM is the ability to capture, and classify the movement of workers while executing these tasks. This research project aims to automate this by applying and fusing motion tracking methods based on various sensors. We develop a system to accurately capture the motion of a worker, employed tools and components and simultaneously segment and classify these motion sequences. For tracking components and tools we investigate a novel optical passive tracking algorithm since it is impractical to augment these parts with any sensor or marker attachment in this setting.

Bild zum Projekt MTM