Capacitive Fingerprint Sensor Circuit for High-Sensitivity Array Imaging

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Solution Overview

Problem

Capacitive fingerprint sensors face challenges in sensitivity and noise characteristics when transitioning from macro-scale to micro-scale electronic components, and are limited by large measurement circuit sizes, which restrict their ability to achieve high image frame rates and commercialization potential.

Innovation Solution

The introduction of a 'C-Q-T' type capacitive sensor circuit, featuring a 'C-Q' converter and a 'Q-T' converter, which converts spatial differences in fingerprint ridges and valleys into charge differences on the sensing electrode, and uses an integrating capacitor to charge/discharge at varying rates, allowing for improved sensitivity and noise reduction through optimized circuit design.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Volume of moving object

If capacitive fingerprint sensors are scaled from macro-scale to micro-scale electronic components, then device size is reduced, but sensitivity and noise characteristics deteriorate

Engineering Contradiction:
Improvesensor sizeVSAvoidsensitivity
Core Design Contradiction:
Volume of moving objectVSMeasurement precision

Solution Approach 1:

The patent changes the measurement parameter from direct capacitance measurement to charge transfer quantity measurement. By converting the capacitive signal to a charge transfer process, the system achieves micro-scale dimensions while maintaining high sensitivity through precise charge quantization and transfer counting, effectively resolving the sensitivity deterioration issue at micro-scale

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent replaces traditional voltage-based capacitive measurement with a charge transfer mechanism. Instead of measuring capacitance changes through voltage variations, the system uses charge packets that are transferred and counted, providing superior noise immunity and sensitivity at micro-scale dimensions

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If measurement circuit size is reduced for array sensors, then device integration is improved, but sampling time is limited and image frame rate is restricted

Engineering Contradiction:
Improvecircuit sizeVSAvoidimage frame rate
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent segments the measurement process into discrete charge transfer steps. Each pixel's charge is transferred through a shared circuit in sequential time slots, allowing compact circuit design while maintaining adequate sampling time through time-division multiplexing of the charge transfer process

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements continuous charge transfer operation across the sensor array. While one pixel group is being read out, another group is already transferring charge, ensuring that the useful measurement action continues without interruption, thereby maintaining high frame rates despite reduced circuit size

Inventive Principle:
Principle #20Continuity of useful action

3Device complexity

If array sensors use single-channel design with time division multiplexing, then device complexity is reduced, but sampling time is greatly limited

Engineering Contradiction:
Improvecircuit configurationVSAvoidsampling time
Core Design Contradiction:
Device complexityVSLoss of time

Solution Approach 1:

The patent employs periodic charge transfer cycles where charge is transferred in regular time intervals across different pixel groups. This periodic operation allows the use of a single shared measurement circuit while ensuring each pixel receives adequate sampling time through systematic time-division allocation, resolving the time loss issue

Inventive Principle:
Principle #19Periodic action

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

The 'C-Q-T' sensor circuit enhances sensitivity and reduces thermal noise, achieving performance beyond previous capacitive distance sensors, with improved resolution and linearity, and is suitable for high-demand consumer electronics applications.

Implementation Method 1

measuring the differences between the coupling capacitance formed between ridgelines of fingerprints and planar sensing electrode array units and that formed between valley lines of the fingerprints and the planar sensing electrode array units

Methodology Applied
Scientific EffectCapacitive coupling: Capacitance

Implementation Method 2

a reference capacitor (equivalent to the integrating capacitor) is first fully charged, and then discharges to the capacitance measuring plates (equivalent to the sensing electrode) with increased levels

Methodology Applied
Scientific EffectCharge transfer: Capacitance

Data Source

PatentUS10289890B2Capacitive fingerprint sensor
Publication Date: 2019.05.14 NASEMIC MICROELECTRONICS CO LTD
  • US10289890B2 patent drawing
  • US10289890B2 patent drawing
  • US10289890B2 patent drawing

AI summary

On the basis of the physical principle that a capacitance value is inversely proportional to the distance between capacitive electrodes, the spatial structure of the surface of an object can be imaged by measuring a coupling capacitance between the surface of measured object and the electrode arrays on a surface of a sensor; for example, imaging may be performed to uneven spaces between ridge lines and valley lines of fingerprints. The present application provides a C-Q-T type capacitive fingerprint sensor. Firstly, coupling capacitance differences between the fingerprints and the electrodes of the sensor are converted into charge quantity differences, then the charge quantity differences are converted into time differences, and edge signals carrying the time differences are output. Fingerprint sensors are grouped into an array, reading and data combination may be performed to the edge signals, and imaging may be performed to fingerprints.