US 2025/0029434 A1 · METHODS AND SYSTEMS FOR IDENTIFYING POTENTIAL VEHICLE DEFECTS

Abstract

The inventors have developed technology to facilitate the inspection of vehicles, such as cars, for the presence of defects. The technology may be used to facilitate detection of any defects of one or more vehicle defects before, during, and/or after inspection of the vehicle. The technology includes software and trained machine learning models for performing analyses to determine likely vehicle defects prior to completion of a vehicle inspection, to determine whether any vehicle defects are present based on data acquired during the vehicle inspection, and/or to determine, after completion of the vehicle inspection, whether there are any discrepancies between any defects identified by an inspector during the vehicle inspection and defects automatically detected by analyzing data collected during the inspection of the vehicle.

Claims20

Dependent claims

A method for assisting an inspector to inspect a vehicle by providing the inspector with information about potential vehicle defects via a mobile device used by the inspector, the method comprising:

using at least one computer hardware processor to perform, prior to completion of the inspector's inspection of the vehicle:
obtaining first information about the vehicle, the first information about the vehicle comprising a vehicle identifier;
obtaining second information about the vehicle using the vehicle identifier;
identifying one or more potential vehicle defects by using one or more trained machine learning (ML) defect detection models, the trained ML defect detection models being trained to detect vehicle defects of different types and including a first trained ML model trained to detect vehicle defects of a first type, the identifying comprising:
generating a first set of features using the first information about the vehicle and/or the second information about the vehicle;
processing the first set of features using the first trained ML model to obtain a first likelihood that the vehicle has a defect of the first type;
and
identifying, based on the first likelihood, the defect of the first type as a first potential vehicle defect for the vehicle;
and
notifying the inspector of the identified one or more potential vehicle defects, the notifying comprising notifying the inspector of the first potential vehicle defect.

7 more elements

A system, comprising:

at least one computer hardware processor;
and
at least one non-transitory computer-readable storage medium storing processor executable instructions that when executed by the at least one computer hardware processor perform a method for assisting an inspector to inspect a vehicle by providing the inspector with information about potential vehicle defects via a mobile device used by the inspector, the method comprising:
obtaining first information about the vehicle, the first information about the vehicle comprising a vehicle identifier;
obtaining second information about the vehicle using the vehicle identifier;
identifying one or more potential vehicle defects by using one or more trained machine learning (ML) defect detection models, the trained ML defect detection models being trained to detect vehicle defects of different types and including a first trained ML model trained to detect vehicle defects of a first type, the identifying comprising:
generating a first set of features using the first information about the vehicle and/or the second information about the vehicle;
processing the first set of features using the first trained ML model to obtain a first likelihood that the vehicle has a defect of the first type;
and
identifying, based on the first likelihood, the defect of the first type as a first potential vehicle defect for the vehicle;
and
notifying the inspector of the identified one or more potential vehicle defects, the notifying comprising notifying the inspector of the first potential vehicle defect.

9 more elements

At least one non-transitory computer-readable storage medium storing processor executable instructions that when executed by the at least one computer hardware processor perform a method for assisting an inspector to inspect a vehicle by providing the inspector with information about potential vehicle defects via a mobile device used by the inspector, the method comprising:

obtaining first information about the vehicle, the first information about the vehicle comprising a vehicle identifier;
obtaining second information about the vehicle using the vehicle identifier;
identifying one or more potential vehicle defects by using one or more trained machine learning (ML) defect detection models, the trained ML defect detection models being trained to detect vehicle defects of different types and including a first trained ML model trained to detect vehicle defects of a first type, the identifying comprising:
generating a first set of features using the first information about the vehicle and/or the second information about the vehicle;
processing the first set of features using the first trained ML model to obtain a first likelihood that the vehicle has a defect of the first type;
and
identifying, based on the first likelihood, the defect of the first type as a first potential vehicle defect for the vehicle;
and
notifying the inspector of the identified one or more potential vehicle defects, the notifying comprising notifying the inspector of the first potential vehicle defect.

6 more elements

Dependencies are inferred from the claim text.

Methods and systems for identifying potential vehicle defects

Life of this patent

Methods and systems for identifying potential vehicle defects

Life of this patent

Abstract

Claims20