Abstract: A method for characterizing the uniformity of a material includes selecting a set of size scales at which to measure uniformity within an area of interest in an image of the material; suppressing features in the image smaller than a selected size scale of interest within the set of size scales; dividing the image into patches equal to the size scale of interest; and calculating a uniformity value within each patch.

Abstract: A method for characterizing the uniformity of a material includes selecting a set of size scales at which to measure uniformity within an area of interest in an image of the material; suppressing features in the image smaller than a selected size scale of interest within the set of size scales; dividing the image into patches equal to the size scale of interest; and calculating a uniformity value within each patch.

Abstract: A computerized inspection system is described for detecting the presence of non-uniformity defects and providing output indicative of a severity of each type of non-uniformity defect. Techniques are described that increase the throughput of the inspection system. Algorithmic and hardware approaches are described to significantly decrease the average amount of time required to inspect a given quantity of material that is expected to be mostly uniform. The techniques described herein involve dynamic selection of which image features to compute by starting with a base feature set and only triggering additional feature computations as needed until the features are sufficient to compute a severity for each type of non-uniformity defect. The number of features extracted and the order in which the features are extracted is dynamically determined in real-time to reduce a cost associated with the feature extraction.

Abstract: A system is described for detecting the presence of non-uniformity patterns and providing output indicative of a severity of each type of non-uniformity pattern. The system includes a computerized rating tool that assists a user in efficiently and consistently assigning expert ratings (i.e., labels) to a large collection of training images representing samples of a given product. In addition, the rating software develops a model that allows a computerized inspection system to detect the presence of non-uniformity patterns in a manufactured web material in real time and provide output indicative of a severity level of each pattern on a continuous scale. The system also includes algorithmic and hardware approaches to significantly that increase the throughput of the inspection system.

Abstract: A system is described for detecting the presence of non-uniformity patterns and providing output indicative of a severity of each type of non-uniformity pattern. The system includes a computerized rating tool that assists a user in efficiently and consistently assigning expert ratings (i.e., labels) to a large collection of training images representing samples of a given product. In addition, the rating software develops a model that allows a computerized inspection system to detect the presence of non-uniformity patterns in a manufactured web material in real time and provide output indicative of a severity level of each pattern on a continuous scale. The system also includes algorithmic and hardware approaches to significantly that increase the throughput of the inspection system.

Abstract: A computerized inspection system is described for detecting the presence of non-uniformity defects and providing output indicative of a severity of each type of non-uniformity defect. Techniques are described that increase the throughput of the inspection system. Algorithmic and hardware approaches are described to significantly decrease the average amount of time required to inspect a given quantity of material that is expected to be mostly uniform. The techniques described herein involve dynamic selection of which image features to compute by starting with a base feature set and only triggering additional feature computations as needed until the features are sufficient to compute a severity for each type of non-uniformity defect. The number of features extracted and the order in which the features are extracted is dynamically determined in real-time to reduce a cost associated with the feature extraction.

Abstract: Systems and methods for calibrating a web inspection system.

Abstract: Systems and methods for calibrating a web inspection system.

Abstract: Systems and methods for calibrating a web inspection system.

Abstract: Systems and methods for calibrating a web inspection system.

Abstract: A method and apparatus for measuring the thickness of a coating on a coated surface. The method uses a solid state array of light-sensitive elements to measure light emitted from a fluorescing coating composition. The intensity of the emitted light corresponds to the thickness of the coating composition, and provides a fast and accurate measure of coating thickness.