Sensor-Based Vehicle Profiling for Faster, Accurate Status Reports

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Solution Overview

Problem

Current vehicle profiling is manually performed, which is time-consuming and prone to errors.

Innovation Solution

An apparatus and method utilizing sensors to capture vehicle data, a processor to generate a graphic model, determine vehicle status, classify the data into groups, and generate a vehicle report.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual vehicle profiling is performed, then flexibility and adaptability are maintained, but time consumption and error rates increase

Engineering Contradiction:
Improveprofiling accuracyVSAvoidprofiling time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical profiling processes with an automated sensor-based system. Sensors capture vehicle data, processors generate graphic models and determine vehicle status, eliminating the need for manual inspection while improving both speed and accuracy of vehicle profiling.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The vehicle profiling system performs self-assessment through automated sensors and processing units that independently capture data, generate models, determine status, and create reports without human intervention, enabling the system to service itself in terms of data collection and analysis.

Inventive Principle:
Principle #25Self-service

2Reliability

If manual vehicle profiling is performed, then system complexity is low, but error susceptibility increases

Engineering Contradiction:
Improveprofiling reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent substitutes manual operations with an automated electronic system comprising sensors, processors, and memory units. This increases device complexity but eliminates human error, thereby improving reliability and consistency of vehicle profiling results.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system incorporates feedback mechanisms where sensors continuously monitor vehicle data, processors analyze the information, and the system adjusts its profiling based on determined vehicle status. This closed-loop approach enhances reliability by validating results against established criteria.

Inventive Principle:
Principle #23Feedback

3Productivity

If automated sensor-based profiling is implemented, then productivity and accuracy improve, but device complexity increases

Engineering Contradiction:
Improveprofiling throughputVSAvoidapparatus complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the vehicle profiling system into distinct functional segments: sensors for data capture, processors for model generation and status determination, and memory units for data storage and report generation. This segmentation enables parallel processing, improving productivity while managing complexity through modular design.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The processing unit serves multiple functions: generating graphic models from sensor data, determining vehicle status, classifying data into status groups, and generating reports. This multi-functionality reduces the need for separate dedicated devices, managing complexity while maintaining high productivity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12412385B2Apparatus and method for vehicle profiling
Publication Date: 2025.09.09 QUICK QUACK CAR WASH HLDG LLC
  • US12412385B2 patent drawing
  • US12412385B2 patent drawing
  • US12412385B2 patent drawing

AI summary

An apparatus for vehicle profiling, the apparatus including at least a sensor, wherein the at least a sensor is configured to capture vehicle data of a vehicle; at least a processor; and a memory communicatively connected to the at least processor, the memory contains instructions configuring the at least processor to receive the vehicle data from the at least a sensor; generate a graphic model of the vehicle as a function of the vehicle data; determine a vehicle status as a function of the vehicle data; classify the vehicle status and the vehicle data into one or more vehicle status groups wherein the vehicle status includes at least a vehicle measurement; and generate a vehicle report as a function of the one or more vehicle status groups.