Identity Document Scanner with Multi-Spectral Imaging and Server Verification
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Solution Overview
Problem
Current systems for verifying the authenticity of identity documents are inefficient and prone to errors, leading to delays and potential fraud, as they often require manual processing and rely on expensive, complex scanners that may not effectively validate the documents' authenticity or extract textual information.
Innovation Solution
A method and system utilizing a scanner, analyze server, and Point of Sale (POS) system that acquires images of an identity document under white, UV, and IR light, encrypts and verifies the images using authentication algorithms, extracts textual information, and generates a verification report, enabling quick and reliable authentication and information sharing with the POS system, while also checking document validity through external databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processing is used for verifying identity documents, then errors are reduced, but productivity is worsened due to time-consuming processes
Solution Approach 1:
The patent replaces manual mechanical verification processes with an automated optical scanning system. The scanner captures images of the identity document under multiple lighting conditions (white, UV, IR) and transmits them to a server for automated analysis, eliminating manual handling while maintaining verification accuracy through multi-spectral image analysis and authentication algorithms.
2Measurement precision
If expensive complex scanners are used, then measurement precision is improved, but device complexity is worsened
Solution Approach 1:
The patent segments the verification system into two parts: a relatively simple scanner device that captures images under multiple lighting conditions, and a separate server that performs the complex authentication algorithms and database checks. This segmentation allows the scanner to remain simple while the server handles the computationally intensive verification processes.
Solution Approach 2:
The patent introduces a server as an intermediary between the scanner and the verification database. The scanner captures multi-spectral images and sends them to the server, which then performs authentication algorithms and compares data against external databases. This intermediary handles the complexity of verification while keeping the scanner device relatively simple.
3Reliability
If multi-spectral imaging is used, then reliability is improved through better authentication, but use of energy is worsened
Solution Approach 1:
The patent uses periodic action by sequentially activating different light sources (white, UV, IR) rather than having them all active simultaneously. The scanner illuminates the document with each light type in sequence, capturing images under each condition, which reduces overall energy consumption compared to continuous multi-spectral illumination while still achieving reliable authentication.
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 solution allows for rapid, error-free verification of identity documents, reducing transaction time and preventing fraud by providing a robust and simple system that automatically authenticates documents and shares extracted information with the POS system, effectively addressing inefficiencies and errors in existing methods.
Implementation Method 1
acquire, with the camera, three images of the identity document when it is illuminated with white light, UV light and IR light, respectively
Data Source
AI summary
The present disclosure relates to methods, a system and an analyze server for verifying the authenticity of identity documents and extracting textual information therefrom. The presence of the identity document in a slot of a scanner is detected and three different images of the identity document are acquired when the identity document is illuminated with white light, UV light and IR light, respectively. The images are encrypted and sent to an analyze server which determines the authenticity of the identity and extracts textual information. The analyze server generates an encrypted verification report including textual information extracted from the identity document and sends it to the scanner, which in turn sends a first signal to an indicating device for indicating the state of the authenticity of the identity document and the textual information to a Point of Sale (POS) system in response to verifying the identity document.