Automation Anywhere has patented a computerized method for detecting user interface objects in application-generated images. The method involves training a machine learning model with a dataset of object classes and updating the dataset based on model accuracy. This innovation enhances object detection accuracy in user interfaces. GlobalData’s report on Automation Anywhere gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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.

Computerized method for detecting user interface objects using machine learning

Source: United States Patent and Trademark Office (USPTO). Credit: Automation Anywhere Inc

A recently granted patent (Publication Number: US11886892B2) outlines a computer-implemented method for detecting user interface objects within screen images generated by application programs. The method involves selecting a dataset with various object classes, training a machine learning model with a portion of the dataset, and testing its accuracy. If the accuracy falls below set metrics, the method involves processing the dataset to identify failure vectors, generating updated variance parameters, segmenting object classes, and retraining the model with the updated dataset. This approach aims to enhance the model's ability to detect objects accurately.

Moreover, the patent extends to tangible storage mediums and computer systems supporting robotic processing systems with software robots. These systems utilize the retrained machine learning model to detect user interface objects within screen images. By incorporating invariance guided learning, the method ensures that the machine learning model adapts to variance parameters, leading to improved object detection capabilities. The patent emphasizes the importance of accuracy thresholds and test metrics in determining the effectiveness of the model, highlighting a systematic approach to enhance detection accuracy through dataset updates and retraining processes.

To know more about GlobalData’s detailed insights on Automation Anywhere, buy the report here.

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