18051743. 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 18051743 titled 'MODULAR SYSTEM FOR DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS

Simplified Explanation

The abstract describes a modular RF system with directional antennas that can monitor and interact with objects using machine learning models to determine signals to transmit.

• The RF system is modular, allowing for flexibility in configuration and scalability.
• It includes directional antennas for focused signal monitoring and interaction.
• Hardware and software components work together to enable object detection, tracking, and signal transmission.
• Machine learning models analyze received signals to make decisions on transmitting signals.

Potential Applications

The technology could be used in:

• Surveillance systems for monitoring specific areas.
• Communication systems for targeted signal transmission.
• Tracking systems for following moving objects.

Problems Solved

• Enhanced monitoring and tracking capabilities in specific directions.
• Efficient use of RF signals with machine learning analysis.
• Scalability and flexibility in RF system configuration.

Benefits

• Improved accuracy in signal detection and tracking.
• Increased efficiency in signal transmission.
• Adaptability to various applications and environments.

Potential Commercial Applications

Optimized RF systems for:

• Security companies for surveillance purposes.
• Telecommunication companies for targeted signal transmission.
• Logistics companies for tracking moving objects.

Possible Prior Art

One possible prior art could be traditional RF systems with omnidirectional antennas that lack the focused monitoring and interaction capabilities of the described modular RF system.

Unanswered Questions

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

The abstract mentions that machine learning models are used to determine signals to transmit, but it does not elaborate on the specific criteria or algorithms used in this decision-making process.

What is the range and accuracy of the directional antennas in the RF system?

While the abstract mentions the use of directional antennas, it does not provide information on the range and accuracy of these antennas, which are crucial factors in the system's performance.

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.