Fingerprint Detection Assembly Column Segmentation for Noise Reduction
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Solution Overview
Problem
The challenge in full-screen fingerprint detection technology is that as the size of the fingerprint detection assembly increases, each column of fingerprint pixel circuits experiences larger loads and equivalent capacitance, leading to increased noise, which hinders accurate fingerprint signal reading and the ability to enlarge the detection area.
Innovation Solution
The fingerprint detection assembly is designed with fingerprint pixel circuits arranged in multiple rows and columns, where each column is divided into multiple units connected to the signal reading device through separate data lines, reducing the load and capacitance, and incorporating a switch device to control which units are active, thereby minimizing noise and enabling larger size detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the size of the fingerprint detection assembly is increased to achieve full-screen detection, then the detection area is improved, but the load and equivalent capacitance of each column of fingerprint pixel circuits increase, leading to increased noise
Solution Approach 1:
Each column of fingerprint pixel circuits is divided into multiple column fingerprint pixel units, with each unit independently connected to the signal reading device through separate data lines. This segmentation reduces the load and equivalent capacitance of individual circuit columns, thereby reducing noise while maintaining large detection area coverage
Solution Approach 2:
The patent introduces a new dimension of organization by dividing columns into multiple units along the longitudinal direction, creating a hierarchical structure (columns → units → pixel circuits). This dimensional organization allows independent control and reading of each unit, reducing the electrical load on any single column while preserving the overall large detection area
2Object-affected harmful factors
If each column of fingerprint pixel circuits is divided into multiple units with separate data lines, then the load and capacitance are reduced, but the device complexity increases
Solution Approach 1:
The signal reading device is designed with universal functionality to read fingerprint signals from multiple column fingerprint pixel units through separate data lines. This multi-functional reading capability allows the system to manage increased complexity through integrated control, reducing the need for separate dedicated reading circuits for each unit
3Area of stationary object
If the fingerprint detection assembly is enlarged for full-screen coverage, then the detection capability is improved, but the power consumption increases
Solution Approach 1:
By segmenting each column into multiple independently controllable units, the system can activate only the necessary units for current detection tasks rather than powering the entire assembly at full capacity, reducing overall power consumption while maintaining large detection area capability
Solution Approach 2:
The switch device enables dynamic control of column fingerprint pixel units, allowing the system to adaptively activate or deactivate units based on detection needs. This dynamic operation optimizes power consumption by ensuring that only actively used detection units consume power, rather than the entire enlarged assembly operating continuously at full power
Data Source
AI summary
A fingerprint detection assembly includes a plurality of fingerprint pixel circuits and a signal reading device. The plurality of fingerprint pixel circuits are arranged in multiple rows and multiple columns, each column of the fingerprint pixel circuits are divided into a plurality of column fingerprint pixel units along a longitudinal direction. Each of the plurality of the column fingerprint pixel units is connected to the signal reading device through a respective data line. The signal reading device is configured to read the fingerprint signals which are collected by the fingerprint pixel circuits.