Kofax has been granted a patent for systems and methods that use a multi-detector to detect objects within digital image data. The technology involves defining analysis profiles for detectors, analyzing image data, selecting an optimum analysis result based on confidence scores, and detecting objects within the result. GlobalData’s report on Kofax gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Kofax, was a key innovation area identified from patents. Kofax's grant share as of April 2024 was 76%. Grant share is based on the ratio of number of grants to total number of patents.
Object detection in digital images using multi-detector system
A recently granted patent (Publication Number: US11967164B2) discloses a computer-implemented method for detecting objects within digital image data. The method involves defining multiple analysis profiles, each corresponding to a detector with unique parameters or algorithms, analyzing the image data using these detectors to produce different results, selecting an optimal result based on confidence scores, and detecting objects based on this optimal analysis result. The patent also covers detecting multiple objects with unique characteristics, utilizing various detectors, and outputting the detected objects' projected locations to memory or display.
Furthermore, the patent details the process of defining analysis profiles for detectors, analyzing image data, selecting optimal results based on confidence scores related to object characteristics like location, color profile, edge strength, and angles, among others. It also includes generating composite analysis results, composite confidence scores, and detecting polygonal-shaped objects by analyzing specific subregions of the digital image data. The method allows for customization of detectors based on the image data source and outputting the detected objects' locations for further processing or display, enhancing object detection capabilities in digital images.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
