Interactive Terminal Document Verification System
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Solution Overview
Problem
Current interactive terminals are unable to efficiently process multiple procedures based on various types of documents, leading to increased user and organizational time expenditure, reduced productivity, and inadequate risk assessment for identity and document authenticity.
Innovation Solution
A device and method that enable the selection of procedures, identification of necessary information, and request for additional information from users, utilizing image capture and processing, biometric analysis, and risk assessment to verify document authenticity and user identity, while allowing for multiple document types and procedures to be managed simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional interactive terminals are used for document processing, then basic document exchange and remote communication are enabled, but processing efficiency remains low and productivity is not improved
Solution Approach 1:
The system performs preliminary actions by automatically capturing document images, recognizing document types, extracting relevant information, and pre-processing data before the user reaches the counter. This reduces on-site processing time and improves overall efficiency.
Solution Approach 2:
The terminal enables self-service by allowing users to independently complete document submission, information verification, and procedure selection without requiring constant agent assistance, thereby reducing waiting time and improving productivity.
2Productivity
If multiple procedures and document types are processed manually, then flexibility is maintained, but processing time increases and productivity decreases
Solution Approach 1:
The terminal is designed with multi-functionality to handle various document types (identity documents, certificates, forms) and multiple procedures simultaneously. The system automatically adapts to different document types through image recognition and type classification, maintaining versatility while improving processing speed.
Solution Approach 2:
The processing system segments different document types and procedures into distinct identification categories. Each document type is recognized and routed to appropriate processing workflows, enabling efficient multi-procedure handling without manual intervention.
3Reliability
If basic document verification is performed, then simple authentication is achieved, but risk assessment of identity and document authenticity is insufficient
Solution Approach 1:
The terminal acts as an intermediary verification system that collects biometric data (fingerprints, facial images) and document information, then transmits this data to remote servers for comprehensive authenticity verification. This multi-layered approach enhances security while managing complexity through distributed processing.
Solution Approach 2:
The system implements feedback mechanisms by comparing captured biometric data and document information against stored reference data. The verification process provides feedback on authentication results and risk levels, enabling automated decision-making and enhanced security assessment.
Data Source
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AI summary
The invention concerns a method including: a step (310 to 317) of selecting a procedure among said plurality of procedures, a step (319) of identifying, in a database, complementary data required for executing said procedure and a step of requesting complementary information to the user adapted to request, to the user, at least one complementary information identified by the data identifying means. In particular embodiments, the selection step (310) includes: a step (310) of capturing images of documents, a step (315) of processing images captured by the image capturing means, adapted to identify a type of document in said multiple types of documents and a procedure identifying step (317) adapted to identify a procedure to which said type of document corresponds, the identifying step (319) identifying, in a database, complementary data required, together with said document, for executing said procedure.