The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 09, 2023
Filed:
May. 04, 2021
Systems and methods for utilizing models to predict hazardous driving conditions based on audio data
Verizon Connect Ireland Limited, Dublin, IE;
Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);
Vipul Shyam Javeri, Sandy Springs, GA (US);
Mourya C. Darivemula, Sugar Hill, GA (US);
Jeyanth Paul John Britto, Alpharetta, GA (US);
Nishitha Reddy Nalla, Atlanta, GA (US);
Aaroon Thowfiq Shahul Hameed, Alpharetta, GA (US);
Douglas Coimbra De Andrade, Florence, IT;
Jin Soo Cho, Chattanooga, TN (US);
Ianemmanuel P Crueldad, Pomona, CA (US);
Verizon Connect Development Limited, Dublin, IE;
Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);
Abstract
A vehicle device may receive audio data and other vehicle data associated with a vehicle and may transform the audio data to transformed audio data in a frequency domain. The vehicle device may segment the transformed audio data into a plurality of audio segments and may process the plurality of audio segments, with different feature extraction techniques, to extract a plurality of feature vectors. The vehicle device may merge the plurality of feature vectors into a merged feature vector and may create an audio signature for the audio data based on the merged feature vector. The vehicle device may process the audio signature and the other vehicle data, with a model, to determine a classification of the audio signature and may perform one or more actions based on the classification of the audio signature.