Abstract: A method of locating a defect in an e-coat on a surface can include acquiring an image of the surface. A correction coefficient can be applied to the image to form an adjusted image. The correction coefficient can relate pixel values of the image to a calibration value. The adjusted image can be separated into a spectral component which can be modified by a block average determination to create a modified spectral component. The spectral components can be compared with the modified spectral components to form a difference image. The difference image can be dilated and eroded. A region of interest can be identified from an image region using a blob detection. The defect can be classified as a defect type. The defect can be repaired or a coding parameter can be altered based on the defect.

Abstract: A system for repairing a paint defect of a part can have means for identifying the paint defect of the part, a robotic applicator, and a computer module. The robotic applicator can include a dispenser and a pad. The robotic applicator can be configured to position the dispenser and the pad adjacent to the paint defect of the part. The dispenser can be configured to atomize a composition into an atomized composition. The dispenser can be also configured to dispose a predetermined amount of the atomized composition on the paint defect. The pad can be configured to work the predetermined amount of the atomized composition on the paint defect. The computer module can be in communication with the robotic applicator. The computer module can be configured to control functions of the robotic applicator.

Abstract: An object inspection system and a method for detecting defects which utilizes a plurality of cameras and lights to capture images of a portion of an object and which uses the captured images to determine the presence of a defect upon a surface, such as surface, of the object and which may communicated the location of the identified defect to an automated defect repair assembly.

Abstract: A light is shined on a specular surface of an inspected object at a fixed position. Light is reflected directly from the surface into a fixed camera. Multiple images are taken as the light source moves. Images are fused into a single image. This invention takes a single image and generates several defect detection images using several distinct image processing sequences. Each defect detection image alone could be used to identify when defects are located under a camera pixel, but the several images are combined to create a feature vector that can be used as an input to a pattern classifier. The pattern classifier may be trained to achieve superior defect detection results by combining several detection images.