Invention Grant
- Patent Title: Vehicle ambient audio classification via neural network machine learning
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Application No.: US16287396Application Date: 2019-02-27
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Publication No.: US10885930B2Publication Date: 2021-01-05
- Inventor: Ethan Gross
- Applicant: Ford Global Technologies, LLC.
- Applicant Address: US MI Dearborn
- Assignee: Ford Global Technologies, LLC.
- Current Assignee: Ford Global Technologies, LLC.
- Current Assignee Address: US MI Dearborn
- Agency: Stevens Law Group
- Agent David R. Stevens
- Main IPC: G01L21/00
- IPC: G01L21/00 ; G01L25/00 ; G10L25/51 ; G06N3/08 ; G07C5/08 ; G08B21/22 ; G08B21/24 ; B60R25/10 ; B60R25/30 ; B60R25/31 ; G06N3/04 ; G07C9/00 ; G10L25/30 ; G08B21/00 ; G08B13/16 ; G10L25/24

Abstract:
A method and an apparatus for detecting and classifying sounds around a vehicle via neural network machine learning are described. The method involves an audio recognition system that may determine the origin of the sounds being inside or outside of a vehicle and classify the sounds into different categories such as adult, child, or animal sounds. The audio recognition system may communicate with a plurality of sensors in and around the vehicle to obtain information of conditions of the vehicle. Based on information of the sounds and conditions of the vehicles, the audio recognition system may determine whether an occupant or the vehicle is at risk and send alert messages or issue warning signals.
Public/Granted literature
- US20190259410A1 Vehicle Ambient Audio Classification Via Neural Network Machine Learning Public/Granted day:2019-08-22
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