Photos of defective spare parts are analyzed by a machine learning algorithm and the damage is classified. This information is used in the development of new products and in the selection of suppliers.
In the development of new products, it is important to identify and eliminate the defects of past product lines. To ensure this, the service technician takes a photo of defective spare parts.
Based on historical data and similar photos of this spare part, the Machine Learning algorithm analyses the damage and classifies it into pre-defined classes.
Based on the classification of repair damages from previous product series, detailed information on repairs and complaints is available. This information is incorporated into product development of new products and the selection of suppliers and components.