17978822. MODULAR SYSTEM FOR DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS simplified abstract (Anduril Industries, Inc.)

MODULAR SYSTEM FOR DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS

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)

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

This abstract first appeared for US patent application 17978822 titled 'MODULAR SYSTEM FOR DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS

Simplified Explanation

The abstract describes a modular RF system with directional antennas and machine learning models to monitor and interact with signals or objects in specific directions.

• The RF system includes one or more directional antennas.
• The system is equipped with hardware and software components.
• It can monitor signals or objects in particular directions.
• It can interact with signals or objects by tracking or transmitting signals.
• Machine learning models are used to determine signals to transmit based on received signals.

Potential Applications

The technology could be applied in:

• Radar systems for tracking objects.
• Communication systems for optimizing signal transmission.
• Surveillance systems for monitoring specific areas.

Problems Solved

• Improved accuracy in monitoring and tracking signals or objects.
• Enhanced efficiency in transmitting signals in specific directions.
• Automation of signal detection and transmission processes.

Benefits

• Increased precision in monitoring and interacting with signals or objects.
• Enhanced performance in signal transmission and reception.
• Potential for real-time decision-making based on received signals.

Potential Commercial Applications

Optimized RF systems for:

• Military surveillance and communication.
• Satellite communication systems.
• Autonomous vehicle navigation systems.

Possible Prior Art

One possible prior art could be traditional RF systems with fixed antennas and manual signal monitoring processes.

How does the machine learning model determine which signals to transmit based on received signals?

The machine learning model likely analyzes patterns in received signals to make predictions on the most suitable signals to transmit.

What specific hardware components are included in the modular RF system?

The hardware components may include antennas, receivers, transmitters, processors, and memory modules to enable signal monitoring and transmission functionalities.

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.