ServiceNow. has been granted a patent for a system that analyzes document images to assess and adjust image quality. The system identifies document boundaries, determines document types, and extracts data clusters for further processing, enhancing the efficiency of document analysis. GlobalData’s report on ServiceNow 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 ServiceNow, Network traffic analysis was a key innovation area identified from patents. ServiceNow's grant share as of June 2024 was 71%. Grant share is based on the ratio of number of grants to total number of patents.
Document image analysis and data extraction system
The granted patent US12046066B2 outlines a sophisticated system designed for processing images containing documents. The system comprises a non-transitory storage medium with computer-readable instructions and at least one processor. Upon execution of these instructions, the processor analyzes the image to assess its quality parameters and determines whether the image quality meets a predefined threshold for processing. If the quality is inadequate, the system adjusts various image quality parameters—such as contrast, sharpness, and geometry—to produce an enhanced image. Conversely, if the image quality is deemed sufficient, it is outputted as is. The system further identifies document boundaries within the adjusted image and clusters data based on these boundaries, generating output that facilitates the extraction of content from the documents.
Additionally, the patent details methods for determining and extracting specific types of data from business-related documents. The system identifies clusters of data within the document image, assessing parameters such as position, size, and relative positioning of each cluster. It determines the content type of each cluster—whether text, image, or table data—and extracts relevant information accordingly. The system can utilize a trained neural network to enhance the accuracy of data classification and extraction, considering factors such as the cluster's position relative to others and its content characteristics. This innovative approach aims to streamline the processing of documents, making it particularly useful for applications in data management and automation.
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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.
