|
|
SENSOMAI Sensor-supported AI-based benchmarking platform for the human-centred and economical selection and introduction of support systems in intralogistics processes Companies need to improve their production and intralogistics processes due to rising costs and increasing demands for flexibility. This requires a comprehensive process analysis, which is very time-consuming. Small and medium-sized enterprises (SMEs) in particular struggle to select suitable technologies for intralogistics solutions. The goal of the SENSOMAI project is to develop a user-friendly data platform that supports SMEs in selecting and implementing intralogistics systems. This platform utilizes motion data collected by sensors and analyzes it using a deep learning method. The platform identifies optimization potentials and suggests appropriate intralogistics solutions. A before-and-after comparison allows the evaluation of improvements within the company. The platform continuously enhances its recommendations through the validation of results. SENSOMAI is an innovative solution that offers technology-neutral selection options and addresses multiple user groups. Contact persons: L. Rolfs   (Project manager)N. Hoppe M. Quandt Funded by: BMBF Duration: 01.08.2024 - 31.07.2026 See project's publications List all projects |
