A system, for use in inspecting an object, and said object, said system comprising: at least one array of visual imaging devices configured to capture a plurality of two-dimensional images of the object from different orientations about the object, said visual imaging devices remaining substantially stationary as said object is taxiing along a runway, said at least one array configured to capture a first set of two-dimensional images over a first predetermined interval and a second set of two-dimensional images over a second predetermined interval that is after the first predetermined interval; and a computing device coupled to said at least one array of visual imaging devices, said computing device configured to: remove the non-moving background from the first set and the second set of two dimensional images so that only the image of said object remains, and extract point clouds of the object from the first and second sets of two-dimensional images; generate a three-dimensional model of the object from the extracted point clouds, wherein fine registration of point clouds from the first set and the second set, respectively, is performed when combining point clouds to generate said three-dimensional model; determine variations in the extracted point clouds from the first and second sets of two-dimensional images; and utilize the determined variations to detect potential anomalies in the three-dimensional model. at least one array of visual imaging devices configured to capture a plurality of two-dimensional images of the object from different orientations about the object, said visual imaging devices remaining substantially stationary as said object is taxiing along a runway, said at least one array configured to capture a first set of two-dimensional images over a first predetermined interval and a second set of two-dimensional images over a second predetermined interval that is after the first predetermined interval; and a computing device coupled to said at least one array of visual imaging devices, said computing device configured to: remove the non-moving background from the first set and the second set of two dimensional images so that only the image of said object remains, and extract point clouds of the object from the first and second sets of two-dimensional images; generate a three-dimensional model of the object from the extracted point clouds, wherein fine registration of point clouds from the first set and the second set, respectively, is performed when combining point clouds to generate said three-dimensional model; determine variations in the extracted point clouds from the first and second sets of two-dimensional images; and utilize the determined variations to detect potential anomalies in the three-dimensional model. remove the non-moving background from the first set and the second set of two dimensional images so that only the image of said object remains, and extract point clouds of the object from the first and second sets of two-dimensional images; generate a three-dimensional model of the object from the extracted point clouds, wherein fine registration of point clouds from the first set and the second set, respectively, is performed when combining point clouds to generate said three-dimensional model; determine variations in the extracted point clouds from the first and second sets of two-dimensional images; and utilize the determined variations to detect potential anomalies in the three-dimensional model.