This invention describes an automated system that uses X-rays to find flaws in objects. It works by taking an X-ray image of an object and comparing it to a reference model, which is built from X-ray images of other, known-good objects of the same type. If the object's X-ray image deviates from the reference model in ways that match pre-defined defect patterns, it's flagged as defective and classified. The claims narrow this to an automated, high-speed X-ray inspection system that can also account for background noise and use multiple angles for imaging.
Why it matters: Filed before advanced AI/ML for computer vision was widely adopted. Modern deep learning techniques could significantly enhance the accuracy and speed of generating reference models and detecting defects from X-ray images, making the system more robust.
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