Multispectral Security Article Authentication for Hidden Feature Detection
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Solution Overview
Problem
Advanced printing technologies enable the reproduction of security features on documents, making it difficult to distinguish authentic from counterfeit documents, and existing authentication methods may not effectively detect invisible security features.
Innovation Solution
A user device equipped with multiple optical sensor devices and light emission devices across various spectral ranges to detect and analyze security features, determining their authenticity by processing sensor data from different spectral ranges, and providing visual, audible, and haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced printing technologies are used to reproduce security features, then the visual appearance of counterfeit documents improves, but the ability to distinguish authentic from counterfeit documents deteriorates
Solution Approach 1:
The patent transitions from visual inspection (2D surface observation) to multi-spectral detection (3D spectral space analysis). By capturing documents across multiple wavelength ranges including UV, visible, and infrared spectra, the system adds dimensional depth to authentication, enabling detection of security features that are invisible in normal light but detectable in specific spectral ranges.
Solution Approach 2:
The patent introduces light emission devices and optical sensors as intermediary tools between the document and the observer. These devices emit light at specific wavelengths and detect the document's response, acting as mediators that reveal hidden security features without direct visual contact or manual inspection.
2Measurement precision
If multiple optical sensor devices across various spectral ranges are used, then the detection capability of invisible security features improves, but the device complexity increases
Solution Approach 1:
The patent combines multiple optical sensor devices detecting different spectral ranges into a single integrated authentication system. The sensors capture data across UV, visible, and infrared ranges simultaneously or sequentially, and the processor integrates this multi-spectral data to generate comprehensive authentication results, reducing the need for separate inspection devices.
Solution Approach 2:
The authentication device is designed with universal functionality to detect various types of security features across multiple spectral ranges using a single device. The system can authenticate different document types and detect various security feature implementations (fluorescent inks, holograms, watermarks) through its multi-spectral sensing capability, eliminating the need for specialized devices for each feature type.
3Adaptability or versatility
If integrated authentication is performed within a single device, then the need for separate authentication devices is reduced, but the computational resources required increase
Solution Approach 1:
The system performs preliminary data processing and feature extraction from the captured multi-spectral images before final authentication determination. By pre-processing the sensor data to identify key security feature characteristics and compare them against stored reference patterns, the system reduces the computational burden of the final authentication decision, enabling integrated authentication with manageable processing requirements.
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
Enhances the ability to authenticate security articles by detecting invisible characteristics, reduces the likelihood of counterfeit, and provides support for visually impaired users, and reduces the need for separate authentication devices, and reduces the computational resources, and reduces the likelihood of counterfeit detection, thereby improving security and usability.
Implementation Method 1
causing, by a user device, light to be emitted at a security article by one or more light emission devices of the user device
Implementation Method 2
obtaining, by the user device, from a first set of one or more optical sensor devices of a plurality of optical sensor devices of the user device, and based on causing the light to be emitted, first sensor data associated with the security article
Data Source
AI summary
A user device may cause light to be emitted at a security article by one or more light emission devices of the user device. The user device may obtain from a first set of one or more optical sensor devices of the user device first sensor data associated with the security article, and may obtain from a second set of one or more optical sensor devices of the user device second sensor data associated with the security article. The user device may determine, based on the first sensor data and the second sensor data, one or more characteristics of a security feature of the security article. The user device may determine, based on the one or more characteristics of the security feature, whether the security article is authentic. The user device may cause, based on determining whether the security article is authentic, one or more actions to be performed.