# Parts With Variable Features

In some applications, you need to be able to locate and align parts in which certain features may be different in different parts. For example, in the case of a product packaging line, packaging lids may have some features in common (the product name) while other features are different from part to part (the product flavor). The following figure shows how you can use composite PatMax training to create a pattern that includes the features that are the same for all parts while excluding the features that are different from part to part. Composite PatMax training for parts with varying features.