Ford global technologies, llc (20240319043). OUTPUT FROM ACOUSTIC INPUT simplified abstract

From WikiPatents
Jump to navigation Jump to search

OUTPUT FROM ACOUSTIC INPUT

Organization Name

ford global technologies, llc

Inventor(s)

Huanyi Shui of Ann Arbor MI (US)

Rajesh Gupta of Auburn Hills MI (US)

Gurram Sujith Kumar of Sullurpeta (IN)

Devesh Upadhyay of Canton MI (US)

Rajeev Kalamdani of Canton MI (US)

Douglas K. Grimes of Commerce Twp. MI (US)

Saumuy Puchala of Ypsilanti MI (US)

OUTPUT FROM ACOUSTIC INPUT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240319043 titled 'OUTPUT FROM ACOUSTIC INPUT

Simplified Explanation:

The system described in the patent application involves a computer and memory that can transform acoustic data into an order spectrum, which is then input into a decoder to determine a feature vector. This feature vector can be used by a one-class classifier to classify the order spectrum as either anomalous or non-anomalous.

Key Features and Innovation:

  • System includes a computer and memory for processing acoustic data.
  • Transformation of acoustic data into an order spectrum.
  • Use of a decoder to determine a feature vector.
  • Classification of order spectrum as anomalous or non-anomalous by a one-class classifier.

Potential Applications: The technology could be applied in various industries such as:

  • Security systems for detecting anomalies in acoustic data.
  • Quality control processes in manufacturing to identify irregularities.
  • Monitoring systems for environmental sounds to detect unusual patterns.

Problems Solved: The technology addresses the following issues:

  • Efficient processing of acoustic data for classification.
  • Detection of anomalies in order spectra.
  • Automation of classification tasks for improved accuracy.

Benefits: The benefits of this technology include:

  • Enhanced security measures through anomaly detection.
  • Improved quality control processes in manufacturing.
  • Real-time monitoring and analysis of acoustic data.

Commercial Applications: Title: Acoustic Anomaly Detection System This technology could have significant commercial applications in:

  • Security systems for public spaces and buildings.
  • Manufacturing industries for quality control purposes.
  • Environmental monitoring agencies for detecting unusual sounds in natural habitats.

Questions about Acoustic Anomaly Detection System: 1. How does the system differentiate between anomalous and non-anomalous order spectra? 2. What are the potential limitations of using a one-class classifier for classification tasks?


Original Abstract Submitted

a system is disclosed that includes a computer and memory, the memory including instructions to transform acoustic data to an order spectrum and input the order spectrum to a decoder to determine a feature vector. the feature vector can be input to a one-class classifier to classify the order spectrum as anomalous or non-anomalous and the classified order spectrum can be output.