Automated image based recognition of manual work steps in the remanufacturing of alternators
Abstract
Automated image based recognition of approved work processes at the manual workplace for remanufacturing of alternators supports faster teaching of humans with different qualification levels by explaining the work task with a universally usable form of description. Automatically classified sequence of work steps, used means of production and work pieces are completed or confirmed by the worker over a user interface. The workers progress during the process may be used for future Man-Machine-Cooperation.
