Biometric Sensor Signal Processing Resolution Reduction
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Solution Overview
Problem
Traditional biometric identification methods are inefficient due to high data processing requirements, which slow down processor performance and limit the scope of biometric identification, especially in wide-area applications.
Innovation Solution
A signal processing method for biometric detection sensors that reduces data transmission and processing by performing resolution-decreasing processing on detection signals at the sensor level, generating lower-resolution detection processing signals for the processor, allowing for faster and wider biometric identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution detection signals are transmitted from the biometric sensor to the processor, then measurement precision is improved, but productivity deteriorates due to excessive data processing requirements
Solution Approach 1:
The patent segments the detection pixel array into multiple groups and processes signals from different groups at different resolutions. Some detection pixels output full-resolution signals while others output down-sampled signals, allowing the system to maintain measurement precision for critical areas while improving overall processing throughput by reducing total data volume.
Solution Approach 2:
The patent applies different signal processing quality levels to different spatial regions of the detection array. High-resolution processing is applied to regions requiring detailed biometric feature extraction, while lower-resolution processing is applied to regions where coarse features suffice, thereby optimizing the balance between measurement precision and processing productivity.
2Measurement precision
If full-resolution detection signals from all detection pixels are processed, then measurement precision is improved, but loss of time increases due to large data transmission and processing volume
Solution Approach 1:
The patent implements partial action by processing only a subset of detection pixel signals at full resolution while down-sampling others. This selective approach ensures that sufficient biometric identification accuracy is achieved through processing of critical high-resolution signals, while reducing overall processing time by applying lower-resolution processing to remaining pixels where full resolution is not strictly necessary.
Solution Approach 2:
The patent performs preliminary down-sampling of detection signals at the sensor level before transmission to the processor. This preliminary processing reduces the data volume that requires time-consuming high-computation biometric identification algorithms, thereby reducing total processing time while maintaining sufficient accuracy for the application.
3Measurement precision
If detection signals from a large number of detection pixels are transmitted and processed, then measurement precision for wide-area identification is improved, but device complexity increases due to high data transmission and processing requirements
Solution Approach 1:
The patent extracts and removes redundant high-frequency signal components from detection pixel outputs through down-sampling. This extraction of essential low-frequency biometric features while discarding redundant detailed information reduces the complexity of data transmission and subsequent processing systems, while maintaining sufficient measurement precision for wide-area biometric identification.
Data Source
AI summary
The embodiments of the present disclosure provide a biometric detection sensor and a signal processing method thereof. The biometric detection sensor includes an array of detection pixels, the signal processing method includes: acquiring a first detection signal of each detection pixel in the array of detection pixels; for each detection pixel of at least part of detection pixels, processing the first detection signal of the detection pixel based on a reference signal to obtain a detection processing signal of the detection pixel, wherein a resolution of the detection processing signal is lower than that of the first detection signal; and outputting the detection processing signals of the at least part of detection pixels in the array of detection pixels, wherein the detection processing signals are used for biometric identification. The signal processing method can effectively reduce the amount of data for the processor to receive and process during biometric identification.