17978701. 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 17978701 titled 'MODULAR SYSTEM FOR DETECTING, TRACKING, AND TRANSMITTING TO IDENTIFIED OBJECTS

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 modular, allowing for flexibility and customization.
• It includes directional antennas to focus on specific directions.
• Hardware and software components work together to enable monitoring and interaction with signals or objects.
• Machine learning models analyze received signals to determine appropriate signals to transmit.

Potential Applications

The technology could be applied in:

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

Problems Solved

The technology addresses issues such as:

• Efficient monitoring and tracking of signals or objects.
• Targeted interaction with specific directions.
• Improved signal transmission accuracy.

Benefits

The benefits of this technology include:

• Enhanced precision in monitoring and tracking.
• Increased efficiency in signal transmission.
• Customizable and adaptable system design.

Potential Commercial Applications

Potential commercial applications include:

• Military and defense systems.
• Telecommunications industry.
• Security and surveillance companies.

Possible Prior Art

One possible prior art could be existing RF systems with directional antennas and machine learning capabilities.

How does the system handle interference from other signals in the environment?

The system's ability to filter out interference and focus on specific signals is crucial for its effectiveness in real-world applications. This aspect could be further explored in future research and development.

What is the energy consumption of the RF system and how does it impact its performance?

Understanding the energy requirements of the system and its impact on performance can help optimize its efficiency and effectiveness in various applications. Further studies on energy consumption and performance trade-offs could provide valuable insights for potential improvements.

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.