SYSTEMS AND METHODS FOR PART IDENTIFICATION AND ASSESSMENT USING MULTIPLE IMAGES

A method for object identification using multiple images (100). The method includes training an object identification model (102). Training the model includes collecting training images for each of a plurality of objects (202), labeling each of the plurality of training images with a corresponding one of a plurality of object identifiers (206), and training a neural network with the plurality of labeled training images (208). At least two target images of a target object are received and fed into the trained object identification model (104). The method further includes receiving, from the trained object identification model, for each of the at least two target images, an object identifier corresponding to the target object and a probability that the object identifier corresponds to the target object (106). A similarity value between the at least two target images is computed (108) and the probabilities for the at least two target images are combined in proportion to the similarity value (110).