Non-Contact Face Authentication Gate Terminal Using BLE and Local Server
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Solution Overview
Problem
Conventional biometric authentication methods using contact-based biometric information face issues with inaccuracy and sanitation concerns, while non-contact methods using wireless signals struggle with directional antenna radiation and reception sensitivity, making real-time user processing difficult, especially in high-traffic areas like airports and public transportation.
Innovation Solution
A non-contact authentication system that uses a combination of Bluetooth Low Energy (BLE) signals and face recognition technology, where a user terminal transmits identification information to a gate terminal, which then requests and verifies user face image data through a local and main face recognition server, generating a real-time database for accurate and efficient access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If contact-based biometric authentication (fingerprint, iris) is used, then authentication can be performed, but inaccuracy is high and sanitation problems occur
Solution Approach 1:
The patent replaces contact-based mechanical sensing (fingerprint scanners, iris sensors) with non-contact optical sensing (camera-based face recognition). The gate terminal uses a camera to capture facial images and transmits them to the face recognition server for authentication, eliminating physical contact between the authentication device and user while maintaining identification capability.
2Object-affected harmful factors
If wireless signals (BLE, WiFi, UWB) are used for non-contact authentication, then sanitation is improved, but directional antenna radiation cannot be implemented and reception sensitivity varies
Solution Approach 1:
The patent replaces wireless signal-based authentication with optical-based face recognition. Instead of relying on radio waves that suffer from directional radiation limitations and reception sensitivity variations, the system uses a camera to capture facial images, providing more reliable and consistent authentication results.
3Adaptability or versatility
If multiple wireless signals are processed simultaneously, then authentication coverage can be expanded, but real-time user processing becomes difficult
Solution Approach 1:
The patent segments the authentication system into a gate terminal for local signal reception and a separate face recognition server for processing. The gate terminal simply captures the BLE signal and transmits it to the server, while the server handles the complex face recognition tasks. This separation allows the system to maintain real-time processing capability while expanding authentication coverage.
Solution Approach 2:
The face recognition server acts as an intermediary that receives authentication requests from the gate terminal, performs the complex face recognition processing, and returns results. This intermediary architecture allows the gate terminal to focus on simple signal reception while the server handles computational tasks, enabling real-time processing even with multiple users.
4Reliability
If a centralized face recognition server is used, then authentication consistency is maintained, but processing time and system complexity increase
Solution Approach 1:
The patent segments the face recognition system into a centralized server for database management and a local gate terminal for real-time authentication. The gate terminal captures facial images and performs preliminary processing locally, then transmits data to the server for verification. This segmentation reduces the processing burden on the centralized server and enables faster authentication responses.
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
Improves authentication accuracy and convenience by enabling real-time, 1:N authentication with enhanced speed and accuracy, suitable for high-traffic areas, by using a local face recognition server to manage specific area databases and compare user face image data for secure access control.
Implementation Method 1
the user terminal transmits a BLE signal and transmits the identification information of the user terminal to the gate terminal
Implementation Method 2
the gate terminal obtains real-time user face image data
Data Source
AI summary
An authentication method includes steps in which a gate terminal obtains identification information about a user terminal, the gate terminal transmits the identification information about the user terminal and unique information about the gate terminal to a local face recognition server, the local face recognition server requests user authentication data from a main face recognition server, the main face recognition server extracts user face image data, matched with the identification information about the user terminal, from an entire database in response to the request of the local face recognition server, and transmits same to the local face recognition server, the local face recognition server generates a real-time database for a specific region by using the user face image data, and the gate terminal obtains real-time user face image data, and controls user access on the basis of an authentication result obtained by comparison of the data.