1. A method of improving automated defect detection, the method comprising: providing an image capture device for capturing and transmitting video images of an object in motion in a device; performing automated Robust Principal Component Analysis on the video images to simultaneously decompose the video images into a low rank matrix representing a normal object and a sparse matrix representing an object anomaly; processing the sparse matrix to determine potential defects or potential non-defects; reviewing results of the automated analysis by a human inspector and providing feedback; and refining the automated analysis on the data based upon the feedback of the human inspector.