Projects

A central focus of the AI Innovation Center is direct cooperation with industrial companies: Feasibility studies (Quick Checks) and projects to develop initial prototypes (Exploring Projects) of AI applications. In addition, consortium projects and innovation networks are aimed at cross-company exchange.

AI-based appointment optimization by predicting appointment bookings, no-shows and cancellations

An AI prototype uses traffic light logic to suggest the preferred time slots for scheduling appointment requests in order to achieve the most efficient capacity utilization possible. This is based on past appointment data and takes into account no-shows and appointment cancellations.

AI modules for industrial software solutions

AI building blocks for industrial software solutions AI Explorer Initial situation EVO develops software for the manufacturing industry with a focus on SMEs and mid-sized companies. EVO's software spectrum includes the building blocks for the end-to-end digitalization of the...

AI bending tool selection

Creation of a labeled data set for the regression of quality parameters with a neural network. AI-supported tool selection and automated machine parameterization enable efficient, low-disruption production and shorter delivery times.

AI-supported evaluation of 3D point clouds of high-voltage switchgear

The quality of the scanned point clouds is crucial for the creation of digital twins for high-voltage switchgear. By using AI methods, the point clouds can be evaluated automatically.

AI industrialization support for galvanic processes

In the introduction of a new Cr(III)-based electroplating hard chrome plating process, machine learning is used to analyse complex process relationships and accelerate industrialization. The aim is to increase the efficiency and quality of the process by accurately predicting the electrolyte composition.

AI solutions in productive use

The initiative offers companies support in the sustainable integration of AI, promotes the exchange of experience and develops concrete solutions for optimizing operational processes with the help of AI technologies.

AI-optimized patient planning

As part of the Quick Check, existing approaches to efficient surgery planning and patient appointments were improved with as little waiting time as possible.

AI potential in automation in the service sector

Workshops are used to assess the potential of AI-based services in the service sector. A data map and priority list help to plan the implementation of intelligent automation solutions.

AI potential

The AI Innovation Center develops solutions to optimize production at Ansmann AG, including predicting production times and detecting installation errors in battery cells.

AI-ready machining

The integration of AI in the mechanical engineering industry requires standardized interfaces for reliable data transmission. A technology comparison identifies suitable protocols for optimizing process monitoring and control.