Distributed Object Evaluation Using Dynamic Electromagnetic Spectral Sequences
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Solution Overview
Problem
Existing object evaluation systems face challenges in accurately identifying and authenticating objects using fixed illumination and limited spectral bands, particularly in distinguishing identical or similar objects without dedicated indicia, and in efficiently separating hardware and software functions for cost-effective implementation across various applications.
Innovation Solution
The system employs a method of emitting electromagnetic energy in multiple bands, capturing and comparing responses to determine object identity or similarity, with remote data storage and access for financial billing, allowing for decentralized and cost-effective object evaluation using a network of test devices and a central database for spectral analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed illumination and limited spectral bands are used, then device complexity is reduced, but measurement precision and reliability of object identification deteriorate
Solution Approach 1:
The illumination system dynamically changes illumination sequences rather than using fixed illumination. Multiple illumination sequences with different spectral bands are applied in varying orders to the object, enabling more comprehensive spectral analysis while maintaining relatively simple hardware through temporal variation rather than spatial complexity
Solution Approach 2:
The system employs periodic application of different illumination sequences in alternating periods. During first periods, one illumination sequence is applied; during second periods, a different illumination sequence is applied. This periodic action allows accumulation of spectral data from multiple sequences without requiring all bands to be simultaneously active, reducing device complexity while improving measurement precision
2Measurement precision
If multiple spectral bands are analyzed simultaneously, then measurement precision improves, but device complexity increases
Solution Approach 1:
The sensing system operates dynamically by switching between different illumination sequences that activate different spectral bands at different times. This temporal multiplexing allows the same physical sensors to analyze multiple spectral bands sequentially, achieving comprehensive spectral analysis accuracy without requiring separate simultaneous sensing channels for each band
Solution Approach 2:
The system applies more illumination sequences than strictly necessary for basic identification. By using multiple illumination sequences with overlapping spectral coverage, the system collects excessive spectral data that can be processed to achieve high measurement precision, while the redundancy allows simpler sensing hardware to suffice
3Measurement precision
If centralized processing is used, then measurement precision improves, but loss of time increases
Solution Approach 1:
The processing function is segmented between distributed test devices and centralized servers. Test devices perform local preprocessing of spectral data from multiple illumination sequences, extracting key features and reducing data volume before transmission. The centralized server performs final comprehensive analysis on aggregated data from multiple devices, achieving high precision while minimizing transmission time through data reduction
Solution Approach 2:
Spectral analysis and object identification are performed in advance during manufacturing or initial setup, creating reference spectral profiles stored in databases. During actual evaluation, the system compares measured spectral data against pre-computed references, achieving rapid identification with minimal processing time while maintaining high precision through sophisticated preliminary analysis
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate identification and authentication of objects across diverse applications, reduces costs by sharing high-cost computing hardware, and facilitates secure, efficient object evaluation with inherent encryption techniques, enhancing security and reducing fraud.
Implementation Method 1
operating at least one source at a test device according to a first sequence during a first period to emit electromagnetic energy in a plurality of bands
Implementation Method 2
capturing electromagnetic energy returned to the test device during the first period
Data Source
AI summary
Objects such as manufactured goods or articles, works of art, media such as identity documents, legal documents, financial instruments, transaction cards, other documents, and/or biological tissue are sampled via sequential illumination in various bands of the electromagnetic spectrum, a test response to the illumination is analyzed with respect to reference responses of reference objects. The sequence may be varied. The sequence may define an activation order, a drive level and/or temperature for operating one or more sources. Illumination may be in visible, infrared, ultraviolet, or other portions of the electromagnetic spectrum. Elements of the evaluation system may be remote from one another, for example coupled by a network.