One of Audi's goals & egrave; to constantly improve the quality & agrave; of its product. To achieve this goal, it is experimenting with different solutions that use the latest technologies, such as artificial intelligence . The house of the 4 rings has recently started a pilot project in the Neckarsulm plant called & quot; WPS Analytics & quot; where the welding points of the bodies of the Audi A6 and A7 are controlled through the use of artificial intelligence.
THE PROJECT 
The manufacturer says that on an A6 there are about 5,300 welding points. Until now, the welds were checked manually, by technicians on the basis of sample analysis, using ultrasound technology. Through this pilot project in which several digitization specialists are involved, artificial intelligence is used to detect any anomalies automatically and in real time.
Our goal is; to test and develop digital solutions for the production of vehicles up to their use in series production. This artificial intelligence-based technology projects Audi and this plant into the future.
Audi explains that the system that & egrave; been developed uses an algorithm, a graphical user interface and an application for more analysis. thorough. The goal is to evaluate almost 100% of the welding points . In the long term, the goal is that the quality & agrave; of welding processes can be controlled automatically and continuously optimized.
The algorithm will serve as a model for further applications in the field of connected production and will allow us to to further advance existing digital solutions, such as predictive maintenance.
Neckarsulm & # 39; experience & egrave; already came in handy for the Volkswagen plant in Emden where spot welding is controlled by algorithms. In Ingolstadt, artificial intelligence will be used to detect defects such as small cracks in the car body. The pilot project is part of the Volkswagen Group's Industrial Cloud initiative , which brings together production data from all of the Group's factories around the world, with the main objective of increasing the # 39; efficiency and reduce costs.
Any plant connected to the cloud can download applications and updates for your machinery and systems, modeled on an app store, increasing process efficiency.
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