Automated Visual Item Identification and Valuation System
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Solution Overview
Problem
Manual identification and valuation of items through images or videos are time-consuming and often imprecise, lacking a systematic and computerized method to leverage digital camera data effectively.
Innovation Solution
A computerized system and method that analyzes image or video streams to identify and value items by categorization, utilizing a graphical user interface to request additional information and access valuation databases for determining accurate valuations based on categories and user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual identification and valuation methods are used, then flexibility and adaptability are maintained, but time consumption and labor requirements increase significantly
Solution Approach 1:
The patent replaces manual mechanical identification and valuation processes with an automated computerized system that uses image processing algorithms and database lookups. The system automatically captures images, processes them through classification algorithms, and retrieves valuation information from databases, eliminating the need for manual inspection and assessment while dramatically improving processing speed and productivity.
2Measurement precision
If manual identification and valuation are performed, then judgment flexibility is preserved, but measurement precision and consistency deteriorate
Solution Approach 1:
The patent segments the identification and valuation process into distinct modular components: image capture, image processing, classification algorithm execution, database querying, and result generation. Each module performs a specific function independently, which improves measurement precision through specialized processing while managing system complexity through modular design that allows independent development and testing of each component.
Solution Approach 2:
The patent introduces an intermediary computerized processing system between the physical item and the final valuation result. This intermediary system uses standardized classification algorithms and structured databases to mediate between raw image data and valuation outcomes, ensuring consistent and precise measurements while maintaining system manageability through well-defined interfaces and protocols.
3Reliability
If improvised identification methods are used, then ease of operation is maintained, but reliability and justification capability are compromised
Solution Approach 1:
The patent performs preliminary actions by pre-establishing comprehensive classification schemes and populating valuation databases with reference information before actual identification tasks. This preliminary preparation ensures reliable and justifiable results during operation, as the system has pre-defined categories and pre-stored valuation data ready for immediate retrieval, maintaining ease of operation while guaranteeing reliability through structured preprocessing.
Data Source
AI summary
Items are identified and valuated based at least in part on an image that shows a depiction of the one or more items. The image is analyzed to identify the items, such as by a categorization. The items are valuated based upon the description, category, and/or additional information from the user about the items. The valuation is also based upon information from a valuation database. The identification and valuation may then be used for any of numerous purposes.