Automatisierte Textplatzierung auf 3D-Modellen: Eine Bachelorarbeit mit Zukunft
Im Rahmen eines gemeinsamen Projekts zwischen Daimler Buses und SUSI&James wurde eine spannende Herausforderung angegangen: die automatisierte Platzierung von Texten auf 3D-Modellen.
Erhöhung der Effizienz und Sicherheit in der Fahrzeugerprobung durch KI
As vehicles become more complex, the demands on test drivers also increase. Our AI-supported co-driver enables seamless information exchange in real time, improves data quality, and reduces the driver's workload. This leads to greater safety, faster processes, and reduced costs.
Mitarbeitende entlasten
Unsere Digitale Mitarbeiterin SUSI übernimmt in der Arztpraxis von Dr. Eckermann und Bauer die Telefonanrufe. Dabei werden die Anliegen der Betroffenen erfasst und für die Mitarbeitenden aufbereitet.
Marktbeobachtung für Feldausfälle & Rückrufe
More and more companies are recognizing the importance of international market data for strategic decisions. However, this data is often collected in an unsystematic and irregular manner, which limits its usability. Our Warranty Claim Service collects globally accessible data and processes it intelligently. Employees receive a complete, comparable data collection with history, which is analyzed by our AI. This significantly reduces the amount of work involved and increases data quality, leading to significant competitive advantages.
Common Parts Management
International automotive manufacturers have numerous production sites, which are often supplied by the same suppliers. Our AI-based solution continuously monitors production processes and analyzes quality defects in real time. If problems arise, it immediately informs all affected sites in their respective languages and suggests containment measures. This prevents the use of defective parts, improves quality, and reduces costs. Cross-site evaluations also create transparency and facilitate recourse claims.
Digital Twin
Our Digital Twin digitally maps manufacturing and complex process chains and can be created intuitively without prior knowledge. It links the properties, dependencies, and materials of the individual steps. As a cloud-based collaboration tool, the Digital Twin provides both the “big picture” and detailed views, creates transparency, and enables real-time simulations, live dashboards, and predictive quality alerts. Modern algorithms and AI models help to perform root cause analyses and optimize production processes. By digitally marking suspicious parts, the Digital Twin improves quality control and identifies affected components in the event of errors.