Systems and associated methods for vision-based feature recognition

A non-transitory computer-readable medium having computer-executable instructions that, when executed by one or more processors, cause the one or more processors to collectively:

• access one or more input images of geometric features of at least one component design;
• determine, using a machine learning classifier model, a geometry of the respective geometric features of the at least one component design from the one or more input images;
• and
• assign, using the machine learning classifier model, predefined names to the respective geometric features based on the determined geometry;
• wherein the machine learning classifier model is trained with training data, and the training data includes training images of geometric features and the predefined names assigned to the respective geometric features in the training images.

A method for feature recognition of design geometry comprising:

• training a machine learning classifier model with training data, wherein the training data includes training images of geometric features and predefined names assigned to the respective geometric features in the training images;
• accessing one or more input images of geometric features of a component design;
• determining, using the trained machine learning classifier model, a geometry of the respective geometric features of the component design from the one or more input images;
• assigning, using the trained machine learning classifier model, the predefined names to the respective geometric features of the component design based on the determined geometry;
• and
• evaluate the component design based on the assigned predefined names.