AI-based quality inspection
Today, quality requirements can be transferred to AI-based machine vision systems through machine learning in order to ensure product quality in automated production processes. In this way, manual visual inspections are reduced and, at the same time, defects caused by scratches, cracks and shape defects become visible and can be avoided at an early stage. This allows defective products to be reliably sorted out before they go to further processing or directly to the customer.
In this Vision Channel session, we will show you possible use cases and also how the technology remains controllable through the cloud-based AI Vision Studio IDS NXT lighthouse. And you will see that the intuitively designed user interface can be handled by anyone, even without in-depth knowledge in application programming or dealing with AI.