Vehicle Part Visual Assessment for Remaining-Life Decisions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional vehicle assessment systems rely on predicted service life based on part age or mileage, failing to recognize remaining part life and are labor-intensive, unreliable, and expensive.
Innovation Solution
A vehicle assessment method using a visual detector and processing unit to identify parts, detect visual quality, calculate present value, and determine recommended use, eliminating subjective human assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional predicted service life systems are used based on part age or mileage, then the assessment process is simple, but the system fails to recognize remaining part life and provides unreliable assessments
Solution Approach 1:
The patent replaces manual visual inspection (mechanical human assessment) with an automated visual detection system using cameras and image processing algorithms. This substitution maintains assessment reliability while reducing subjectivity and labor intensity, directly addressing the contradiction between reliability and complexity.
Solution Approach 2:
The system creates digital copies (images) of vehicle parts and analyzes them through processing units rather than requiring physical inspection by humans. This copying approach enables automated, repeatable assessments that improve reliability without proportionally increasing system complexity.
2Productivity
If manual visual inspection by individuals is used to assess physical quality, then the assessment can detect visual quality, but the process becomes labor intensive, expensive, and nonrepeatable
Solution Approach 1:
The system enables parts to be assessed automatically without requiring skilled human operators. The visual detection system and processing unit perform the assessment independently, improving productivity while maintaining ease of operation through automated workflows that require minimal human intervention.
Solution Approach 2:
Manual inspection operations are replaced with automated visual detection and image processing. This substitution dramatically increases assessment speed and productivity while the standardized automated process maintains operational simplicity despite the technological complexity.
3Reliability
If automated visual detection systems are implemented, then assessment reliability and productivity improve, but device complexity increases
Solution Approach 1:
The visual detection system is designed to assess multiple types of vehicle parts using the same core technology platform. This multi-functionality approach improves assessment consistency across different parts while amortizing the complexity across diverse applications, making the system more justifiable and manageable.
Solution Approach 2:
The system uses digital image copying and analysis rather than physical manipulation or complex mechanical inspection devices. This approach achieves high reliability through consistent digital processing while keeping the physical hardware relatively simple, primarily requiring imaging devices and processing units.
Data Source
AI summary
An assessment method for a vehicle part includes an identifying feature of the vehicle part with a visual detector. The assessment method includes identifying the vehicle part with a processing unit based on the identifying feature. The assessment method includes detecting a visual quality of the vehicle part with the visual detector. The assessment method includes calculating a present value of the vehicle part with the processing unit. The step of calculating the present value is based at least in part on the visual quality. The assessment method includes determining a recommended use of the vehicle part with the processing unit. The step of determining the recommended use is based on the present value.