Multi-modal defect inspection

A method comprising:

• accessing, by at least one processor, one or more images of an inspected item and structural imaging data of the inspected item, the one or more images captured by at least one optical sensor and the structural imaging data obtained via at least one structural imaging sensor;
• processing, by the at least one processor, the one or more images via a first machine learning model to obtain a first defect classification;
• processing, by the at least one processor, at least some of the structural imaging data via a second machine learning model to obtain a second defect classification;
• automatically generating, by the at least one processor and based on the first defect classification and the second defect classification, an inspection result;
• and
• causing presentation, by the at least one processor, of the inspection result in association with an item identifier of the inspected item at a user device.

One or more non-transitory computer-readable media storing computer-executable instructions that, when executed by a computing system, cause the computing system to perform operations comprising:

• accessing one or more images of an inspected item and structural imaging data of the inspected item, the one or more images captured by at least one optical sensor and the structural imaging data obtained via at least one structural imaging sensor;
• processing the one or more images via a first machine learning model to obtain a first defect classification;
• processing at least some of the structural imaging data via a second machine learning model to obtain a second defect classification;
• automatically generating, based on the first defect classification and the second defect classification, an inspection result;
• and
• causing presentation, at a user device, of the inspection result in association with an item identifier of the inspected item.