Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB

Intelligent workflow-analysis

Intelligent workflow-analysis

In workflow analysis workflows are evaluated for their efficiency. The intelligent workflow analysis performs this evaluation automatically and in real time. It can be used as a basis for individually tailored assistance functions. If the system detects deviations from the optimal workflow, it automatically adapts to the new situation.

The basis for the intelligent workflow analysis is the sensorial recording of the working environment and the actors present there. Using methods of artificial intelligence, such as markov decision-processes, the recorded workflow is optimized with regard to defined target criteria. Depending on the application, different assistance functions are provided, such as the suggestion of a next work step. In this case, a recalculation of the optimal route to the destination is performed after each work step, similar to a navigation system.

A field of application is the intelligent operating room, in which a surgery is recorded and evaluated. The BMBF project KonsensOP focus on this application. In the field of manual assembly, the demonstrator mAssist was implemented. A use case for queue optimization at passport control at the airport was dealt with in the EU project FastPass.



Philipp, Patrick; Beyerer, Jürgen; Fischer, Yvonne:
Expert-based probabilistic modeling of workflows in context of surgical interventions.In: Schaefer, K.; Institute of Electrical and Electronics Engineers; IEEE Communications Society; IEEE Systems, Man, and Cybernetics Society: IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2017: March 27-31, 2017, Savannah, GA, USA. Piscataway, NJ: IEEE, 2017, S.77-83.
Philipp, Patrick; Bleier, Johannes; Fischer, Yvonne; Beyerer, Jürgen:
Towards a surgical phase detection using Markov Logic Networks. In: Radermacher, Klaus (Ed.); Society for Computer Assisted Orthopaedic Surgery, Bern: CAOS 2017, 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery. Papers. Online resource: June 14-17, 2017, Aachen, Germany, S.288-294.
Schreiter, Luzie; Philipp, Patrick; Giehl, Johannes; Fischer, Yvonne; Raczkowsky, Jörg; Schwarz, Markus; Beyerer, Jürgen; Wörn, Heinz:
Situation detection for an interactive assistance in surgical interventions based on random forests.In: International journal of computer assisted radiology and surgery 11 (2016), Supplement 1, S.S115-S116.