IDS Vision Channel on 29 November: AI-based quality inspection

How to teach an AI vision system to check quality requirements

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.