Under-Screen Fingerprint Recognition With High-Brightness Wake-Up

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Solution Overview

Problem

Fingerprint recognition technologies face challenges with blurry images due to insufficient light intensity, spacing between fingers and the display screen, dry fingers, and low-temperature fingers, leading to decreased recognition efficiency and accuracy.

Innovation Solution

The method involves waking up the system to High Brightness Mode (HBM) before fingerprint collection, using under-screen fingerprint recognition, and implementing pressure detection to ensure sufficient light intensity and proper finger pressure, with prompt animations and feedback to adjust user input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If the display screen remains in low brightness mode during fingerprint recognition, then power consumption is reduced, but the fingerprint image clarity deteriorates due to insufficient light intensity

Engineering Contradiction:
Improvepower consumptionVSAvoidfingerprint image clarity
Core Design Contradiction:
Use of energy by moving objectVSMeasurement precision

Solution Approach 1:

The system activates the display screen to high brightness mode before fingerprint recognition begins, ensuring sufficient light intensity for clear fingerprint image capture. This preliminary action of increasing brightness prior to recognition resolves the contradiction by preparing optimal lighting conditions in advance, then maintaining high brightness only during the recognition process to minimize overall power consumption.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the display screen brightness is increased during fingerprint recognition, then fingerprint image clarity is improved, but power consumption increases

Engineering Contradiction:
Improvefingerprint image clarityVSAvoidpower consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The display screen operates in periodic cycles, switching between low brightness mode (power saving) and high brightness mode (fingerprint recognition). During fingerprint recognition, the screen transitions to high brightness mode to ensure sufficient light intensity for clear image capture, then returns to low brightness mode afterward. This periodic switching resolves the contradiction by limiting high power consumption to only when necessary for recognition.

Inventive Principle:
Principle #19Periodic action

3Measurement precision

If pressure detection is implemented to ensure proper finger contact, then fingerprint recognition accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvefingerprint recognition accuracyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The existing display screen serves multiple functions: it acts as both the visual interface and the fingerprint recognition surface. By integrating pressure detection capability into the existing display structure, the system avoids adding separate dedicated pressure sensing components. This multi-functional approach resolves the contradiction by improving recognition accuracy through pressure detection while minimizing the increase in device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentEP3576014B1Fingerprint recognition method, electronic device, and storage medium
Publication Date: 2026.03.11 BEIJING XIAOMI MOBILE SOFTWARE CO LTD
  • EP3576014B1 patent drawingFigure 1~2
  • EP3576014B1 patent drawingFigure 3
  • EP3576014B1 patent drawingFigure 4~5

AI summary

A fingerprint identification method, which is applied to a terminal device, includes waking up a system of the terminal device and making a display screen of the terminal device enter into a High Brightness mode, if a wake event is detected when the display screen of the terminal device is in an Always on Display mode or in an Off-Screen mode; collecting fingerprint information; and identifying the fingerprint information to obtain recognition results according to a pre-stored fingerprint database.