Quick Check

As part of the Quick Check, a concept for equipping machines for punching screw heads has been developed as a collaborative application. The application is designed as a mobile robot platform and by means of a bin-picking solution.

The defects in the thermal deformation of aircraft landing gear are detected by the SFS algorithm. The results can be further processed with AI algorithms and material defects can be visualized with suitable lighting.

Machine learning is used to detect errors in the cutting process at an early stage. Data from log files and service reports enable reliable prediction and minimization of machine failures.

The combination of AI methods and simulation techniques enables the precise monitoring and improvement of assembly processes in order to drive forward automation in enclosure assembly.

The final acceptance requirements for employees were reviewed with the help of UNAs. AI potentials were identified and suggested.