Machine learning-based defect analysis reporting and tracking

A system for defect detection in industrial inspections the system comprising:

• a robotic platform equipped with imaging sensors;
• a computer processor;
• and
• a non-transitory computer readable storage medium storing program code, which when executed by the computer processor, performs a plurality of operations comprising:
• ingesting a plurality of images captured from the robotic platform to obtain a plurality of ingested images;
• analyzing the plurality of ingested images using an image analysis pipeline to generate a plurality of segmentation masks and a plurality of labeled images;
• simulating a plurality of environmental conditions in an environment shown in at least a subset of the plurality of ingested images to create an augmented plurality of labeled images;
• and
• training a defect analysis model with the augmented plurality of labeled images and the plurality of segmentation masks.

A non-transitory computer readable storage medium storing program code, which when executed by a computer processor, performs a plurality of operations comprising:

• ingesting a plurality of images captured from the robotic platform to obtain a plurality of ingested images;
• analyzing the plurality of ingested images using an image analysis pipeline to generate a plurality of segmentation masks and a plurality of labeled images;
• simulating a plurality of environmental conditions in an environment shown in at least a subset of the plurality of ingested images to create an augmented plurality of labeled images;
• and
• training a defect analysis model with the augmented plurality of labeled images and the plurality of segmentation masks.