Electronic Arts. has been granted a patent for a system that automates graphical testing in video game development using Deep Convolutional Neural Networks. The method analyzes game frames to detect various graphical glitches, applying confidence measures to minimize false positives during testing. GlobalData’s report on Electronic Arts 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 Electronic Arts, Location-based parallel gaming was a key innovation area identified from patents. Electronic Arts's grant share as of July 2024 was 74%. Grant share is based on the ratio of number of grants to total number of patents.
Automating graphical testing for video games using machine learning
The granted patent US12066883B2 outlines a computer-implemented method and system for detecting graphical glitches in a virtual environment during the execution of a game application in test mode. The method involves executing the game application and receiving a predefined path for a virtual camera to follow within the virtual environment. As the camera moves along this path, frames are rendered based on its viewpoint, capturing various virtual objects from multiple angles. A machine learning model analyzes these frames to identify and classify graphical glitches, such as corrupted or missing textures. The analysis includes determining a confidence score for each classification, which is then compared against a predefined threshold to ascertain the reliability of the classification.
If the confidence score does not meet the threshold, the method allows for adjustments to be made, such as altering the camera's path to acquire additional frames or modifying rendering parameters like lighting conditions. This iterative process aims to enhance the accuracy of the classification by providing more data for analysis. Additionally, the system is designed to generate bug reports that document identified glitches, including specific frames and timestamps, thereby facilitating the debugging process in game development. The patent emphasizes the integration of machine learning techniques to improve the detection and classification of graphical errors, ultimately contributing to a more polished gaming experience.
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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.
