Car production Detecting unknown errors in the press shop

From Sven Prawitz | Translated by AI 1 min Reading Time

Related Vendor

A testing system for body parts has been developed at the Fraunhofer Institute for Machine Tools and Forming Technology. It also detects previously unknown errors.

The Anowatch system checks panels in a press shop for errors.(Image: Fraunhofer IWU)
The Anowatch system checks panels in a press shop for errors.
(Image: Fraunhofer IWU)

Body parts for automobiles are manufactured from flat sheets, so-called panels, in press shops—largely automated. For quality control in this area, employees of the Fraunhofer IWU developed the "AnoWatch" testing system. It is designed to help detect errors early.

According to the announcement, the special feature of the automated system is that it is "trained" with error-free components. Therefore, all deviations should be immediately recognized.

The advantage of this concept is that the system also detects errors that occur for the first time. Areas with a detected deviation are marked on the component with light. This draws employees' attention to the error location.

Anowatch learns independently

Users benefit from the fact that Anowatch learns independently without manual intervention during production and then independently takes over its inspection tasks, it continues. The testing unit can be installed as a compact, self-contained system above the production line and is ready for operation within a few hours.

According to Fraunhofer IWU, interested users could test the system and then decide on a purchase. Anowatch was developed by Thomas Wiener during his promotion at Fraunhofer IWU, according to the announcement. The computer science graduate now wants to bring the testing system to market maturity. It will be presented on September 11, 2024, in Dresden at the congress of the Automotive Cluster East Germany.

Subscribe to the newsletter now

Don't Miss out on Our Best Content

By clicking on „Subscribe to Newsletter“ I agree to the processing and use of my data according to the consent form (please expand for details) and accept the Terms of Use. For more information, please see our Privacy Policy. The consent declaration relates, among other things, to the sending of editorial newsletters by email and to data matching for marketing purposes with selected advertising partners (e.g., LinkedIn, Google, Meta)

Unfold for details of your consent