Challenge.
VIVALDI was looking to automate the manual and arduous quality testing of heavy vehicle parts and used Intel® Xeon® processors and AI-backed image recognition to develop a scalable solution that can handle even complex component geometries and optimise working conditions.
During the solution-finding process, we were able to leverage Bechtle and Intel’s comprehensive IoT and AI expertise. Bechtle provided us with a project manager who kept a keen eye on the timeline, a solution architect, a security concept and so much more while Intel supported us when it came to optimising reliable AI models. These specialists’ expertise allowed us to collaborate closely with Bechtle to design a tailored modular test cell that shows great potential for the automobile industry as a whole and for manufacturing in general.
Uwe Siegwart, CEO, VIVALDI Digital Solutions GmbH
Solution.
Working closely with Bechtle and Intel, VIVALDI developed fully-automated, AI-based quality controls that are both user-friendly and scalable. Bechtle supported the start-up when it came to selecting components and used the problems identified to help configure specific solutions. A powerful team of project managers, solution architects and other professionals designed a test cell that can be used everywhere and even copied in other companies. With VIVALDI focused on tracking software and AI, Bechtle handled developing the hardware as well as a platform and security concept. This collaboration allowed the configuration of an efficient test cell and data-driven software that ensures seamless tracking and quick troubleshooting along the entire supply chain.
Business benefits.
- Automated quality controls
Fully-automated test cell for surface inspections. - Scalable solution
Adaptable to various production sites and companies. - Less manual effort
Minimal manual controls and optimised working conditions. - Wide range of applications
Can be used in a whole host of industries to optimise quality controls. - Greater process security
Enhanced monitoring and tracking throughout the production process. - Faster troubleshooting
Immediately identify anomalies through AI-backed analyses.