17978807. DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS USING MODELS IN A MODULAR SYSTEM simplified abstract (Anduril Industries, Inc.)

DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS USING MODELS IN A MODULAR SYSTEM

Organization Name

Anduril Industries, Inc.

Inventor(s)

Sam El-akkad of Poway CA (US)

Christopher Fischer of Lake Forest CA (US)

Travis Whitaker of Costa Mesa CA (US)

Bryden Pearson of Irvine CA (US)

Todd Berk of Lake Forest CA (US)

Thao Pham of San Diego CA (US)

Jon Hsu of Yorba Linda CA (US)

Cameron Dart of Fountain Valley CA (US)

DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS USING MODELS IN A MODULAR SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17978807 titled 'DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS USING MODELS IN A MODULAR SYSTEM

Simplified Explanation

The abstract describes a modular, radio frequency (RF) system that includes directional antennas and machine learning models to monitor and interact with signals or objects in specific directions.

• The RF system is equipped with hardware and software components to detect, track, and transmit signals in particular directions.
• Machine learning models are used to analyze received signals and determine which signals to transmit.

Potential Applications

This technology could be applied in various industries such as telecommunications, defense, and surveillance for signal monitoring, tracking, and communication purposes.

Problems Solved

1. Improved signal monitoring and tracking capabilities in specific directions. 2. Enhanced interaction with signals or objects in targeted areas.

Benefits

1. Increased accuracy in detecting and tracking signals or objects. 2. Efficient transmission of signals in desired directions. 3. Enhanced security and surveillance capabilities.

Potential Commercial Applications

Optimizing communication networks, enhancing security systems, and improving surveillance technologies in various industries.

Possible Prior Art

One possible prior art could be traditional RF systems with fixed antennas that lack the ability to dynamically adjust to specific directions based on received signals.

Unanswered Questions

How does the RF system adapt to changing signal conditions?

The article does not provide details on how the RF system adjusts its operations in response to varying signal environments.

What is the scalability of this technology for large-scale applications?

The scalability of the RF system for widespread deployment and usage is not discussed in the article.

Original Abstract Submitted

A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.