Dual-Wavelength Biometric Sensor Layout for Fingerprint and Vein Detection

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Solution Overview

Problem

Existing optical sensors face challenges in detecting multiple types of biological information using a single sensor, as they are typically designed to either detect surface features like fingerprints or biological patterns like vein patterns, but not both effectively.

Innovation Solution

A detection device with a sensor base equipped with multiple photoelectric conversion elements, switching elements, gate lines, and dual light sources emitting light at different wavelengths, allowing for the detection of fingerprint shapes and biological information such as pulsation and vein patterns by controlling the light sources' operation in a time-division manner.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single optical sensor is used to detect multiple types of biological information, then the device complexity is reduced, but the measurement precision deteriorates because the sensor cannot effectively detect both surface features and internal biological patterns simultaneously

Engineering Contradiction:
Improvesensor configurationVSAvoiddetection accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The detection device divides the sensor array into multiple detection areas (first detection area and second detection area), where each area is specialized for detecting specific types of biological information. The first detection area detects surface features using blue or green light, while the second detection area detects internal biological patterns using red or infrared light, allowing simultaneous multi-type detection without cross-interference

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different regions of the sensor base are assigned different functional characteristics. The first detection area is optimized for surface feature detection with specific photoelectric conversion elements responsive to blue/green light, while the second detection area is optimized for internal pattern detection with elements responsive to red/infrared light, creating localized functional specialization within a unified device

Inventive Principle:
Principle #3Local quality

2Measurement precision

If multiple light sources with different wavelengths are used to detect various biological information, then the measurement precision improves, but the device complexity increases due to additional light source components

Engineering Contradiction:
Improvebiological information detection accuracyVSAvoidlight source configuration
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The light source system is segmented into multiple independent light sources (first light source emitting blue/green light, second light source emitting red/infrared light), where each light source is dedicated to illuminating specific detection areas. This segmentation allows wavelength-specific optimization for different biological information types while maintaining modular architecture

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Multiple light sources with different wavelengths are integrated into a single detection device, enabling the system to perform multiple detection functions (surface feature detection and internal pattern detection) using a unified platform. The device can selectively activate different light sources based on the type of biological information to be detected

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

3Measurement precision

If blue or green light is used for detecting surface features, then the measurement precision of fingerprint shapes improves, but the ability to detect internal biological information deteriorates due to light wavelength limitations

Engineering Contradiction:
Improvefingerprint shape detection accuracyVSAvoidbiological information detection range
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The first detection area is specifically optimized for surface feature detection by using photoelectric conversion elements that are most responsive to blue or green light wavelengths, which provide high precision for fingerprint shape detection. Meanwhile, the second detection area uses elements optimized for red or infrared light to detect internal biological patterns

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The detection device achieves multi-functionality by integrating both blue/green light detection capabilities and red/infrared light detection capabilities within a single system, allowing it to adaptively detect different types of biological information (surface features and internal patterns) based on the detection requirements

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

4Adaptability or versatility

If red or infrared light is used for detecting internal biological information, then the adaptability improves, but the measurement precision of surface features deteriorates due to light penetration characteristics

Engineering Contradiction:
Improvebiological information detection rangeVSAvoidsurface feature detection accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The second detection area is specifically optimized for internal biological information detection by using photoelectric conversion elements that are most responsive to red or infrared light wavelengths, which provide high adaptability for detecting vein patterns and pulsation. Meanwhile, the first detection area uses elements optimized for blue/green light to maintain high precision for surface feature detection

Inventive Principle:
Principle #3Local quality

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

Enables the simultaneous and accurate detection of various biological information types, including fingerprint shapes, pulsation, and vein patterns, by using blue or green light for surface features and red or infrared light for internal information, improving sensitivity and reducing detection time while enhancing signal-to-noise ratio.

Implementation Method 1

a plurality of photoelectric conversion elements that are provided in a detection area of the sensor base and are configured to receive light incident thereon and output signals corresponding to the received light

Methodology Applied
Scientific EffectPhotoelectric conversion: Photoelectric Effect

Implementation Method 2

a first light source configured to emit first light having a first maximum emission wavelength; and a second light source configured to emit second light having a second maximum emission wavelength

Methodology Applied
Scientific EffectLight emission: Light Emitting Diode

Data Source

PatentUS11888080B2Detection device including light sources along an outer circumference of two detection areas each of the detection areas having a specific scan direction
Publication Date: 2024.01.30 JAPAN DISPLAY INC
  • US11888080B2 patent drawing
  • US11888080B2 patent drawing
  • US11888080B2 patent drawing

AI summary

A detection device is provided. The detection device includes a sensor base; a plurality of photoelectric conversion elements that are provided in a detection area of the sensor base and are configured to receive light incident thereon and output signals corresponding to the received light; a plurality of switching elements provided in the respective photoelectric conversion elements; a plurality of gate lines that are coupled to the switching elements and extend in a first direction; a first light source configured to emit first light having a first maximum emission wavelength; and a second light source configured to emit second light having a second maximum emission wavelength.