01.03.2022: AiF-ZIM funds research project OptiCrimp

Current trends and challenges require the development of smart and holistic quality control systems for crimp contacts. The goal of the AiF-ZIM funded project is the development of an optical inspection system (AOI) for the on-the-fly quality assessment of crimp contacts. The development target is an AOI that can be flexibly integrated into existing manual workstations, semi-automatic machines, and fully automated crimping machines without compromising the short cycle time. The novelty of the project is defined by the use of deep learning as the core technology for image data processing and evaluation. The company Schäfer Werkzeug- und Maschinenbau GmbH is responsible for the development of the hardware, traceability system, and periphery. The institute FAPS focuses on the deep learning-based optical quality assurance, self-learning loop for deep learning model maintenance, and holistic quality assessment by combining optical quality parameters with existing ones.


Huong Giang Nguyen, M. Sc.

Department of Mechanical Engineering
Institute for Factory Automation and Production Systems (FAPS, Prof. Franke)