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.

Date of Patent:
Oct. 01, 2024

Filed:

Mar. 04, 2022
Applicant:

Cerebrumx Labs Private Limited, Haryana, IN;

Inventors:

Amit Gupta, Haryana, IN;

Sandip Ranjhan, Delhi, IN;

Sarika Gupta, Haryana, IN;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G07C 5/08 (2006.01); G06F 18/21 (2023.01); G06F 18/24 (2023.01); G06F 18/2415 (2023.01); G06F 18/243 (2023.01); G06N 3/04 (2023.01); G07C 5/00 (2006.01);
U.S. Cl.
CPC ...
G07C 5/0841 (2013.01); G06F 18/2178 (2023.01); G06F 18/2415 (2023.01); G06F 18/243 (2023.01); G06N 3/04 (2013.01); G07C 5/008 (2013.01);
Abstract

The present invention provides a robust and effective solution to an entity or an organization for creating and standardizing an Automotive Data Quality Marker (ADQM) to determine/evaluate/predict the quality of automotive data such as Telematics, Body Control, ADAS, Diagnostics, Dashcams, and In-Vehicle Infotainment but not limited to the like generated by the vehicle (i.e., data source) using a machine learning (ML) engine associated with a processing unit. The machine learning engine comprises an amalgamation of machine learning algorithms to determine ADQM for a particular dataset. Data pertaining to vehicles is huge and repetitive. Re-training of the model for improved accuracy is a requirement as automotive data can be augmented with additional signals and data received and stored as trip objects on a regular basis.


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