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 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: 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: 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: 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: An object inspection system 10 and a method for detecting defects which utilizes a plurality of cameras 26 and lights 18 to capture images of a portion of an object 14 and which uses the captured images to determine the presence of a defect upon a surface, such as surface 12, of the object 14 and which may communicated the location of the identified defect to an automated defect repair assembly 9.

Abstract: An object inspection system 10 and a method for detecting defects which utilizes a plurality of cameras 26 and lights 18 to capture images of a portion of an object 14 and which uses the captured images to determine the presence of a defect upon a surface, such as surface 12, of the object 14 and which may communicated the location of the identified defect to an automated defect repair assembly 9.

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.