Electronic Device Cosmetic Grading Using Barcode Image Alignment
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Solution Overview
Problem
Existing methods for evaluating the cosmetic appearance of electronic devices, such as smartphones and tablets, are inefficient and lack standardized grading systems, particularly in the context of refurbishing and reselling processes.
Innovation Solution
A system and method for cosmetic evaluation using a processor to receive and analyze images of electronic devices, identify defects, and grade cosmetic appearance based on profile images, facilitated by a barcode for image alignment and comparison, with results stored and transmitted via a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection methods are used to evaluate cosmetic appearance, then flexibility in evaluation is maintained, but efficiency and standardization are poor
Solution Approach 1:
The patent uses profile images as standardized templates or copies of ideal cosmetic appearances. The system compares actual device images against these pre-established profile images to automatically determine cosmetic grades, replacing manual inspection with automated image comparison. This copying approach enables efficient, standardized evaluation without requiring complex physical measurement systems.
Solution Approach 2:
The patent replaces manual mechanical inspection processes with an automated image processing system. Instead of human evaluators physically examining devices, the system uses digital image capture, barcode identification, and automated comparison algorithms to assess cosmetic appearance. This substitution of mechanical/manual inspection with digital automation significantly improves efficiency and standardization.
2Measurement precision
If standardized grading systems are implemented, then evaluation consistency improves, but implementation complexity increases
Solution Approach 1:
The patent segments the cosmetic evaluation process into distinct components: image capture, barcode identification, profile image retrieval, image comparison, and grade determination. Each component is handled by a separate module or function, making the overall system more manageable and easier to implement. The segmentation allows standardized grading rules to be applied systematically without overwhelming complexity.
Solution Approach 2:
The system performs preliminary actions by pre-establishing profile images and grading criteria before actual evaluation. The profile images serve as pre-prepared reference standards that encode the desired cosmetic appearance. By preparing these reference materials in advance, the system enables consistent and reproducible grading without requiring complex real-time decision-making during evaluation.
3Measurement precision
If multiple images from different surfaces are analyzed, then evaluation comprehensiveness improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-positioning multiple cameras to capture images from different surfaces and angles before the actual evaluation begins. The profile images and comparison algorithms are prepared in advance. This preliminary setup allows the evaluation process to quickly compare multiple images without requiring time-consuming real-time analysis, thus reducing processing time while maintaining comprehensive evaluation.
Solution Approach 2:
The patent implements continuous image capture and comparison operations where multiple images from different surfaces are processed in sequence without interruption. The system maintains continuous useful action by automatically retrieving profile images, comparing them with captured images, and determining grades without idle time between operations. This continuous processing approach efficiently handles multiple surfaces while minimizing total processing time.
Data Source
AI summary
A method includes receiving, by a processor, a plurality of images of a test object, the plurality of images including a plurality of surfaces of the test object. 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. For the plurality of regions of interest as selected, the processor compares each region of interest with a corresponding profile image and identifying defects in each region of interest. The corresponding profile image is determined from the image barcode on the test object. The method includes grading, by the processor, a cosmetic appearance of each region of interest based on the identified defects. The method includes storing the grades of the cosmetic appearance for each region of interest.