ADLINK Technology has been granted a patent for an automatically detecting method for time-varying text regions of interest in manufacturing and processing machines. The method uses historical screen data or real-time images to label and select specific characters, reducing user setting time and improving information detection accuracy. GlobalData’s report on ADLINK Technology 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 ADLINK Technology, Data center cooling systems was a key innovation area identified from patents. ADLINK Technology's grant share as of February 2024 was 70%. Grant share is based on the ratio of number of grants to total number of patents.
Automatic detection of time-varying text regions on operation screens
A recently granted patent (Publication Number: US11881037B2) discloses an automatically detecting method for identifying time-varying text regions of interest in an information retrieval system. The method involves steps such as converting screens into grayscale images, performing differential computations, accumulating votes on a score map, and performing normalization processes. By analyzing historical screen data or real-time images, the system can automatically label and select time-varying text regions of interest. Additionally, the method includes processes for image connection, computing bounding boxes, and expanding regions to generate accurate region proposals.
Furthermore, the patent details variations of the method, including steps for specific character detection, search window generation, and Hough transform processes for detecting time-varying text and input boxes. The system parameters are initialized, and operations are performed based on the presence of historical screen data. The method also involves projection-based searches, blob analysis, and filtering processes to enhance the accuracy of identifying text regions. By storing grayscale images in a historical database and performing normalization processes, the system ensures efficient detection and labeling of time-varying text regions of interest. Overall, the patented method offers a comprehensive approach to automatically detecting and selecting text regions in an operation screen, catering to the needs of information retrieval systems.
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