Production and quality management

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.

Following the successful completion of the pilot phase, the KIRR Real project was integrated into and expanded within the AI Advancement Center. This expands the cooperation offerings to include regulatory analyses (Legal Quick Checks). The results of the Legal Quick Checks from the pilot phase are available on the KIRR Real Homepage documented. Legal Quick Checks from the AI Advancement Center will be published on this page.

Development and innovation

Logistics and merchandise management

Marketing and communication

Production and quality management

Administration and organization

Legal Analysis

FlexCab - flexible, intelligent cable assembly

A flexible, intelligent robot system for the automated assembly of high- and low-voltage connectors is being developed to reduce manual labor and increase efficiency.

High speed picking

The analysis of the patient journey at Klinikum Stuttgart identifies AI applications to optimize care, increase employee satisfaction and improve economic and ecological criteria.

Instant calculation of CNC components

Algorithms learn from existing production data and CAD geometries, estimate component complexity in real time, improve cost transparency, automate costing and relieve teams of manual assessments and time-consuming customer communication on a day-to-day basis.

Jewelry image AI-based image recognition

AI-based valuation of returns when renting out valuables

In the sharing economy, efficient returns pose a major challenge. This can be largely automated through the use of AI.

AI-based print image control for effervescent tablet tubes at Jaco

The project developed an AI-based, reliable and fully automated solution for print image monitoring. This reduces false alarms by an average of 85.7% through anomaly detection.

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 Competence in Customer Support

In the project, potentials for the use of AI in customer service were identified and prioritized to sustainably increase service efficiency through forward-looking planning, intelligent automation, and improved information utilization. Based on a structured analysis, concrete implementation concepts are being developed for the three most promising use cases: social workforce planning, predictive maintenance, and an AI-powered assistance system.

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.