Automated Cosmetic Grading of Electronic Devices Using Random Code Verification
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Solution Overview
Problem
Current methods for cosmetic evaluation of electronic devices, such as smartphones and tablets, lack efficiency in grading visual appearance and ensuring authenticity, particularly in refurbishing processes, where damage assessment and component installation validation are crucial for quality control.
Innovation Solution
A computer-aided cosmetic evaluation system that captures images of electronic devices from multiple angles, uses a random code displayed on the device to verify authenticity, and compares these images against profile images to determine cosmetic scores, integrating a server device with a processor to grade and store the results, enabling remote validation and quality assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection methods are used for cosmetic evaluation, then flexibility and adaptability are maintained, but efficiency and measurement precision deteriorate
Solution Approach 1:
The patent replaces manual visual inspection with an automated image processing system that captures images of electronic devices from multiple angles, processes them through algorithms to detect defects, and generates cosmetic grades automatically. This substitution of mechanical/manual evaluation with automated optical and computational systems directly resolves the contradiction by dramatically improving evaluation efficiency while accepting increased system complexity.
2Measurement precision
If multiple images from multiple angles are captured, then measurement precision and defect detection accuracy are improved, but loss of time and processing complexity increase
Solution Approach 1:
The patent implements preliminary actions by capturing all necessary images from multiple angles simultaneously or in rapid sequence before processing begins. The system prepares the device by positioning it and capturing comprehensive visual data upfront, then processes all images through automated algorithms. This approach improves measurement precision through multi-angle analysis while minimizing time loss by performing all image capture before the evaluation process starts, rather than sequentially during analysis.
3Reliability
If a random code verification system is implemented, then reliability and authenticity verification are improved, but device complexity and ease of operation worsen
Solution Approach 1:
The patent implements self-service by having the electronic device itself generate and display the random code on its own display screen, and having the system automatically capture and verify this code through image processing. The device performs part of the verification process itself by providing the code, reducing the need for manual intervention. This improves reliability through automated authenticity verification while partially offsetting the increase in operational complexity through self-service mechanisms.
Data Source
AI summary
A method includes receiving a plurality of images of a test object, including a plurality of surfaces of the test object. One of the plurality of surfaces of the test object includes a random code. The random code can be compared to a random code received to the random code on the one of the plurality of surfaces of the test object including the random code. The processor receives an image of a barcode on the test object. The processor selects a region of interest in each of the plurality of images of the test object. The region of interest includes the test object having a background removed. The processor compares each region of interest with a corresponding profile image and identifying defects in each region of interest. The method includes grading, by the processor, a cosmetic appearance of each region of interest based on the identified defects.


