Facial Recognition Payment Terminal Orientation Control
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Solution Overview
Problem
Current mobile payment methods, such as graphic code payment and NFC payment, require active user intervention for identity authentication, leading to complex operation steps and low efficiency, particularly due to the need for manual password entry or fingerprint verification, which can disrupt the payment process.
Innovation Solution
A facial recognition-based payment method that automatically determines the optimal posture of a terminal relative to a plane to perform facial recognition, allowing for seamless identity authentication without user perception, by obtaining placement posture information and adjusting the tilt angle to meet a preset range, thereby enabling efficient payment operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual password entry or fingerprint verification is used for identity authentication, then security is ensured, but operation steps become complex and payment efficiency decreases
Solution Approach 1:
The patent replaces manual mechanical authentication methods (fingerprint scanning, password typing) with automatic facial recognition technology. The system captures facial images automatically when the terminal is held in a specific orientation, processes the images through recognition algorithms, and completes authentication without requiring the user to manually input credentials or perform physical verification actions, thereby simplifying operations while maintaining security
Solution Approach 2:
The facial recognition system performs self-service authentication by automatically detecting when the terminal is held in the correct orientation and initiating the authentication process without user intervention. The system captures facial images and processes them autonomously, eliminating the need for users to manually trigger authentication or input verification codes
2Productivity
If NFC payment requires placing mobile phone in sensing area, then payment can be completed, but user needs to actively pick up and position the phone, increasing operation complexity
Solution Approach 1:
The system performs preliminary action by pre-configuring the facial recognition system to automatically activate when the terminal detects being held in a specific orientation range. This preliminary setup eliminates the need for users to actively position the phone or trigger authentication manually, as the system is already prepared to capture and process facial images automatically when orientation conditions are met
Solution Approach 2:
The terminal continuously monitors its own orientation through sensors (accelerometer, gyroscope) and provides feedback to the facial recognition system. When the terminal is held within the preset orientation range, the system automatically triggers facial image capture and authentication, creating a closed-loop feedback mechanism that eliminates manual positioning requirements
3Productivity
If facial recognition is implemented, then identity authentication efficiency is improved, but the system complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The patent applies multi-functionality by using the terminal's existing camera and sensor system (accelerometer, gyroscope) for multiple purposes: the camera captures not only payment-related images but also facial images for authentication, while the same sensors that detect terminal orientation also trigger and guide the facial recognition process. This eliminates the need for separate dedicated facial recognition hardware
Solution Approach 2:
The system merges the facial recognition functionality with the existing payment processing system. The same terminal that handles NFC payments also performs facial authentication, and the orientation detection mechanism serves both code scanning and facial recognition triggers. This integration consolidates multiple functions into a single unified system, reducing overall complexity
Data Source
AI summary
A face recognition-based method includes, when a terminal detects a placement posture on the terminal, obtaining placement posture information of the terminal, where the placement posture information is used to determine a tilt angle of the terminal relative to a first plane; performing facial recognition on a user when determining that a tilt angle meets a preset range without notifying the user and regardless of detecting an action of the terminal other than obtaining the placement posture information; and opening the application when the facial recognition succeeds.