ANGEL GROUP CO., LTD. (20240273972). EFFICIENT GAMING MONITORING USING ARTIFICIAL INTELLIGENCE simplified abstract

EFFICIENT GAMING MONITORING USING ARTIFICIAL INTELLIGENCE

Organization Name

ANGEL GROUP CO., LTD.

Inventor(s)

Subhash Challa of Abbotsford, Victoria (AU)

Nhat Dinh Minh Vo of Abbotsford, Victoria (AU)

Duc Dinh Minh Vo of Abbotsford, Victoria (AU)

Lachlan Graham of Abbotsford, Victoria (AU)

Louis Quinn of Abbotsford, Victoria (AU)

Mateo Diaz of Abbotsford, Victoria (AU)

EFFICIENT GAMING MONITORING USING ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240273972 titled 'EFFICIENT GAMING MONITORING USING ARTIFICIAL INTELLIGENCE

Simplified Explanation

The patent application describes methods and systems for monitoring gaming environments using image processing technology.

• Receiving a series of images and timestamp information of a gaming environment.
• Processing the images to determine event triggers.
• Identifying gaming monitoring events based on the event triggers.
• Transmitting image data to an upstream computing device for analysis.
• Detecting specific game objects in the images to trigger monitoring events.

Key Features and Innovation

• Monitoring gaming environments through image processing.
• Detection of specific game objects to trigger monitoring events.
• Real-time analysis and transmission of image data for monitoring purposes.

Potential Applications

This technology can be applied in the gaming industry for real-time monitoring of gameplay and player interactions. It can also be used for security purposes in gaming venues to ensure fair play and prevent cheating.

Problems Solved

This technology addresses the need for efficient and accurate monitoring of gaming environments to ensure fair play and security. It can help detect unauthorized behavior and enhance the overall gaming experience.

Benefits

• Improved monitoring and security in gaming environments.
• Real-time detection of suspicious activities.
• Enhanced player experience through fair gameplay.

Commercial Applications

Title: Real-time Gaming Monitoring Technology This technology can be commercially used in online gaming platforms, casinos, and esports events to ensure fair play, prevent cheating, and enhance security measures. It can also be integrated into gaming consoles for real-time monitoring of gameplay.

Prior Art

There may be prior art related to image processing technology in gaming environments, as well as monitoring systems used in other industries such as security and surveillance.

Frequently Updated Research

Research on image processing algorithms and machine learning techniques for gaming monitoring systems is constantly evolving. Stay updated on advancements in computer vision technology for improved monitoring capabilities.

Questions about Gaming Monitoring Technology

How does this technology improve security in gaming environments?

This technology enhances security by detecting specific game objects and triggering monitoring events in real-time, allowing for immediate response to suspicious activities.

What are the potential applications of this technology beyond gaming environments?

This technology can also be applied in security and surveillance systems, as well as in other industries that require real-time monitoring and analysis of visual data.

Original Abstract Submitted

some embodiments relate to methods and systems for gaming monitoring. an example method comprises: receiving by a computing device a series of images and timestamp information of a capture time of each image in the series of images, wherein each image of the series of images is an image of a gaming environment; processing by the computing device a first image in the series of images to determine an event trigger indicator in the first image; identifying a gaming monitoring event based on the determined event trigger indicator; transmitting image data of the first image and images proximate to the first image in the series of images to an upstream computing device; wherein determining the event trigger indicator comprises detection of a first game object in the first image, wherein the first game object was not detected in an image captured prior to the first image in the series of images.