AI-Assisted Physical Asset Inspection

A processing system, comprising:

• one or more memories comprising computer-executable instructions;
• and
• one or more processors configured to execute the computer-executable instructions causing the processing system to:
• obtain a set of reference images associated with one or more parts of a physical asset, wherein each reference image of the set of reference images corresponds to a respective imaging perspective;
• generate a three-dimensional (3D) reconstruction of the physical asset based on the set of reference images;
• define an asset coordinate system based on mapping the 3D reconstruction of the physical asset to a coordinate frame for the physical asset;
• store, for each reference image, imaging perspective data, asset feature data, and spatial context feature data within a database;
• obtain a set of inspection images associated with the physical asset;
• and
• performing an image inspection, wherein in order to perform the image inspection, the one or more processors are further configured to cause the processing system to:
• identify a matching reference image for an inspection image of the set of inspection images based on calculating a similarity score between the inspection image and a reference image that satisfies an imaging perspective similarity threshold;
• calculate a confidence score based on comparing the stored imaging perspective data, asset feature data, and spatial context feature data associated with the matching reference image to the inspection image, wherein a status of a part of the physical asset in the inspection image is indicated by the confidence score satisfying a confidence threshold;
• and
• generate a report based on the calculated confidence score, wherein the report comprises a status indicator for the part of the physical asset.