DEFECT DETECTION USING SYNTHETIC DATA AND MACHINE LEARNING

A method for quality control of contact lens packages comprises receiving a first data set comprising a plurality of images of a contact lens package having physically implanted defects; receiving a second data set comprising a plurality of images of a contact lens package having digitally implanted defects; testing and training, on the first and second data set, a model to determine a validated one or more quality control models; capturing image data of a package of a contact lens; analyzing, based on the validated one or more quality control models, the image data; and causing, based on the analyzing, output of a quality control metric indicative of at least an accept or reject condition of the package.