KIsS

Extensive amounts of data are generated by sensorsIn various fields such as life sciences, logistics, Industry 4.0, behavioural finance and controlling, and mobility. This Big data is used for research purposes or industry and business. Therefore, a solution is needed to centrally collect, store and process this data to support innovative application and solutions in research groups.

The BMBF-funded project KIsS aims to create a hardware and software platform for AI-Supported sensor data analysis applicable to various topics and applications. The goal is to develop a comprehensive solution that allows sensor data to be analysed efficiently and accurately using AI.

A key focus is on the challenge of developing a system that is flexible and scalable enough to keep up with the dynamic nature of AI while also being user-friendly to be able to provide an easy entry point for new users. This platform intends to make a significant contribution to advancing sensor data analysis and its applications.

The hardware platform includes a variety of sensors used in different research groups. By integrating the platform into existing projects can lead to notable flagship projects. Key project aspects include integrating the software platform, transferring knowledge to all participants, and continuously developing the resources and workload manager on the central computing units.

Semantic segmentation of the LiDAR images of Ouster OS2 128 usinig a specially developed ML Model

Electrophysical activity of neuronal cell cultures recorded with the Axion Multiwell MEA System