BAE SYSTEMS plc (20240282331). METHOD AND APPARATUS TO CLASSIFYING CRAFT simplified abstract

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METHOD AND APPARATUS TO CLASSIFYING CRAFT

Organization Name

BAE SYSTEMS plc

Inventor(s)

Faye Emily Mccabe of Birmingham West Midlands (GB)

Chris Baber of Birmingham West Midlands (GB)

METHOD AND APPARATUS TO CLASSIFYING CRAFT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240282331 titled 'METHOD AND APPARATUS TO CLASSIFYING CRAFT

Simplified Explanation

The patent application describes a method of training a machine learning algorithm using audio signals to detect and classify sets of watercraft based on specific labels related to watercraft equipment.

  • The method involves providing training data in the form of audio signals corresponding to sets of watercraft.
  • The machine learning algorithm is trained to detect and classify the sets of watercraft based on a set of classes and labels related to watercraft equipment.
  • The training process helps the algorithm identify and categorize watercraft based on their associated equipment.

Key Features and Innovation

  • Training a machine learning algorithm using audio signals to detect and classify sets of watercraft.
  • Utilizing specific labels related to watercraft equipment to categorize the detected watercraft.
  • Enhancing the accuracy of watercraft detection and classification through machine learning technology.

Potential Applications

This technology can be applied in various industries such as maritime surveillance, marine research, and naval operations for efficient detection and classification of watercraft based on their equipment.

Problems Solved

  • Improved accuracy in detecting and classifying watercraft based on their associated equipment.
  • Streamlining the process of identifying different types of watercraft in audio signals.

Benefits

  • Enhanced efficiency in maritime operations.
  • Increased accuracy in watercraft classification.
  • Improved monitoring and surveillance capabilities in marine environments.

Commercial Applications

Title: Enhanced Watercraft Detection and Classification Technology This technology can be commercialized for use in maritime security systems, marine navigation aids, and underwater vehicle tracking applications. The market implications include improved safety and security measures in maritime operations.

Prior Art

Readers can explore prior research on machine learning algorithms for audio signal processing in marine environments, as well as studies on watercraft detection and classification technologies.

Frequently Updated Research

Researchers are continuously exploring advancements in machine learning algorithms for audio signal processing in marine environments, which may lead to further improvements in watercraft detection and classification technologies.

Questions about Watercraft Detection and Classification Technology

How does this technology improve efficiency in maritime surveillance?

This technology enhances efficiency by accurately detecting and classifying watercraft based on their equipment, enabling better monitoring and surveillance in marine environments.

What are the potential applications of this technology beyond maritime operations?

This technology can also be applied in marine research, naval operations, and underwater exploration for efficient detection and classification of watercraft based on their equipment.


Original Abstract Submitted

a method of training a machine learning, ml, algorithm, is described. the method is implemented, at least in part, by a computer comprising a processor and a memory. the method comprises: providing training data comprising a set of audio signals, including a first audio signal, as respective bitstreams, corresponding with respective sets of watercraft (s); training the ml algorithm using the provided training data comprising detecting the respective sets of watercraft and classifying the detected respective sets of watercraft according to a set of classes, including a first class, based, at least in part, on a set of labels, including a first label, wherein the set of labels relates to propeller, propulsor, prime mover and/or submerged equipment associated with watercraft (s).