ADLINK Technology has developed an innovative method for automatically detecting time-varying text regions of interest on operation screens of machines. By analyzing historical and real-time images, the system accurately labels and selects the required data, reducing setup time and improving information detection efficiency. GlobalData’s report on ADLINK Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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 January 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 of interest

Source: United States Patent and Trademark Office (USPTO). Credit: ADLINK Technology Inc

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 region proposals for the identified text regions.

Furthermore, the patent details additional features such as specific character detection, search window generation, and region proposal extraction based on grayscale images. The method also involves projection-based searches, Hough transform processes, and filtering operations to enhance the accuracy of identifying time-varying text regions. By storing grayscale historical images in a database, performing normalization processes, and conducting image connection processes, the system aims to efficiently detect and label text regions of interest. Overall, the patented method offers a comprehensive approach to automatically identifying and selecting time-varying text regions in an operation screen, combining image processing techniques with historical data analysis to improve information retrieval systems.

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