1. A damaged machine component detection system comprising: a processor; a memory device communicatively coupled to said processor; an image capture device configured to generate a stream of temporally-spaced images of a scene including a machine component of interest, the images generated in real-time; a grouping model configured to: compare predetermined features of at least a portion of a current image of the stream of images to corresponding features of at least a corresponding portion of previously captured images, the previously captured images sorted into a plurality of groups based on a similarity of the predetermined features in the previously captured images; generate an alert if the predetermined features of the current image and a predetermined number of successive images deviate from corresponding features of the grouped images by greater than a predetermined amount; update the groups with the current image if the predetermined features of the current image deviate from the corresponding features of the grouped images by less than a predetermined amount; and a machine component detector configured to receive the images in real-time and detect the machine component of interest in a plurality of images using a Histogram of Gradients (HoG) analysis.