Automation Anywhere. has filed a patent for improved techniques in recognizing tabularized data within an image and constructing a computer-readable electronic table. The method involves processing the image, identifying columns and rows, and storing electronic data to a table data structure based on the captured object data. GlobalData’s report on Automation Anywhere 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 Automation Anywhere, AI-assisted OCR was a key innovation area identified from patents. Automation Anywhere's grant share as of January 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.
Recognition of tabularized data within an image for construction
The patent application (Publication Number: US20230419705A1) describes a computer-implemented method for constructing an electronic table from an image displayed on a computing device. The method involves processing the image to capture object data, determining columns and rows for the table, identifying content for cells within the table, and storing electronic data to a table data structure based on the captured object data. The method includes evaluating line objects, identifying header regions, and detecting columns and rows based on the objects within the image. The patent also covers a computer-readable medium containing program code for implementing the method, as well as a robotic process automation system that utilizes software robots to interact with software programs and extract and construct tables from images.
The innovative method outlined in the patent application offers a systematic approach to extracting and constructing electronic tables from images displayed on computing devices. By capturing object data, determining columns and rows, and identifying content within the table, the method streamlines the process of converting visual information into structured electronic data. The inclusion of program code in a computer-readable medium and the integration of a robotic process automation system further enhance the practical applications of this technology, enabling automated interaction with software programs to extract and store table data efficiently. Overall, the patent application presents a comprehensive solution for converting image-based tables into electronic formats, with potential implications for data processing, automation, and information management in various industries.
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