AI driven system for x-ray analysis of various products and identifying defects within

An artificial intelligence system for X-ray analysis and defect identification, comprising:

• an x-ray imaging equipment capable of acquiring one or more x-ray images of one or more products;
• a cloud server hosting a computer vision algorithm responsible for processing the one or more x-ray images of the one or more products;
• a sub-portion segmentation module seamlessly integrated with the x-ray imaging equipment segmenting the one or more x-ray images into one or more distinct parts;
• a plurality of artificial intelligence classification models trained to classify and categorize one or more defects present in each of the one or more distinct parts, wherein the plurality of models assign one or more confidence scores, the confidence scores ranging between 0 and 1, to each classification;
• a dynamic learning module configured to continuously refine defect classification through iterative improvement of the plurality of artificial intelligence classification models;
• a co-pilot interface operatively coupled with the dynamic learning module, enabling real-time collaboration between one or more human experts and the artificial intelligence system, wherein the co-pilot interface allows the one or more human experts to validate the one or more confidence scores of each distinct part based on a category of identified defect;
• and
• a feedback loop integrated into the x-ray imaging equipment, facilitating real-time feedback from one or more human experts.