CN-121982783-A - Biological feature recognition system, biological feature recognition method and electronic equipment

CN121982783ACN 121982783 ACN121982783 ACN 121982783ACN-121982783-A

Abstract

The disclosure relates to the technical field of gas detection, in particular to a biological feature recognition system, a biological feature recognition method and electronic equipment, wherein the biological feature recognition system comprises a sensor array, a sensor circuit board, a sensor test system and a pattern recognition module, wherein the sensor array comprises a plurality of gas sensors, the gas sensors are configured to output first gas detection signals based on first gases, the first gases comprise target biological exhaled gases, the sensor circuit board is coupled with the sensor array and is configured to output second gas detection signals based on the first gas detection signals, the sensor test system is coupled with the sensor circuit board and is configured to output feature vector signals based on the second gas detection signals, and the pattern recognition module is coupled with the sensor test system and is configured to output recognition signals based on the feature vector signals, and the recognition signals are used for determining identity information of the target biological.

Inventors

SHEN WENFENG
ZHU XIAODONG
SUN KE
WANG HANBIN
WANG JUNTING

Assignees

安徽中科微感科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260114

Claims (10)

1. A biometric identification system, comprising: A sensor array comprising a plurality of gas sensors configured to output a first gas detection signal based on a first gas, the first gas comprising a target bio-exhaled gas; A sensor circuit board coupled to the sensor array and configured to output a second gas detection signal based on the first gas detection signal; a sensor testing system coupled to the sensor circuit board and configured to output a feature vector signal based on the second gas detection signal; A pattern recognition module, coupled to the sensor testing system, is configured to output a recognition signal based on the eigenvector signal, the recognition signal being used to determine identity information of the target organism.
2. The biometric identification system of claim 1, wherein the plurality of gas sensors comprises: At least one first type of sensor comprising a graphene-metal organic framework composite, the first type of sensor configured to output a first gas detection signal based on a characteristic volatile organic compound comprised by the first gas; At least one second type of sensor configured to output a humidity compensation signal based on an ambient humidity in which the first type of sensor is located; at least one third type of sensor configured to output a temperature compensation signal based on an ambient temperature at which the first type of sensor is located.
3. The biometric identification system of claim 1 or 2, wherein the layer of sensitive material in the sensor array is prepared on the MEMS substrate by a high precision inkjet printing process having a resolution of 50 microns.
4. The biometric identification system of claim 1, further comprising: A sensor test chamber for containing the first gas; The sensor array is arranged in the sensor testing cavity.
5. The biometric system of claim 4, wherein the sensor test cavity comprises: a gas inlet for introducing a first gas; A suction pump coupled to the gas inlet and configured to drive the first gas through the sensor test chamber at a preset flow rate; A thermal insulation layer configured to maintain a temperature within the sensor test cavity greater than or equal to a first threshold value and less than or equal to a second threshold value, the first threshold value being less than the second threshold value, wherein, The sensor array is arranged in the cavity of the sensor testing cavity.
6. The biometric identification system of claim 1, wherein the sensor circuit board comprises: an analog-to-digital conversion module coupled to the sensor array and configured to analog-to-digital convert the first gas detection signal; A signal amplification module, coupled to the analog-to-digital conversion module, configured to amplify the analog-to-digital converted first gas detection signal; And a communication interface coupled to the signal amplification module and configured to output the amplified first gas detection signal to the sensor testing system.
7. The biometric identification system of claim 1, wherein the pattern recognition module is specifically configured to collect a first gas a plurality of times and adjust the recognition parameters of the pattern recognition module based on the first gas collected a plurality of times, wherein, The first gas collected for multiple times is derived from the same target living matter.
8. The biometric system according to claim 7, wherein the pattern recognition module is further configured to adjust the recognition parameters of the pattern recognition module based on the first gas that is acquired multiple times if the number of acquisitions of the first gas is greater than or equal to an acquisition threshold.
9. An electronic device comprising the biometric identification system of any one of claims 1-8.
10. A method of biometric identification as applied to the biometric identification system of any one of claims 1 to 8, the method comprising: Collecting a first gas, the first gas comprising a target bio-exhalation gas; outputting a first gas detection signal based on the first gas, wherein the first gas detection signal is used for representing characteristic volatile organic compounds included in the first gas; Performing analog-to-digital conversion and amplification on the first gas detection signal body to obtain a second gas detection signal; determining a feature vector signal based on the second gas detection signal; Based on the pattern recognition module and the feature vector signal, a recognition signal is output, wherein the recognition signal is used for determining the identity information of the target organism.

Description

Biological feature recognition system, biological feature recognition method and electronic equipment Technical Field The disclosure relates to the technical field of gas detection, and in particular relates to a biological feature recognition system, a biological feature recognition method and electronic equipment. Background The human identity authentication is a core link for guaranteeing information security and authority management, and along with the deep development of a digital society, the application of the human identity authentication is permeated into a plurality of key fields such as financial payment, entrance guard security, mobile terminals, medical health and the like. Currently, the mainstream identity authentication technology mainly depends on two major categories of knowledge credentials (such as passwords and PIN codes) and biometric identification. Biological recognition technology is favored because of its inherent uniqueness and stability, forms a mature technology system represented by fingerprint, face and iris recognition, and builds a huge market scale and application ecology. However, with the continuous expansion and complexity of application scenarios, these conventional biometric technologies gradually expose inherent limitations in terms of universality, security, user experience, environmental robustness, and the like, which prompt the industry to seek a new generation of biometric identification that is more convenient, reliable, and difficult to counterfeit. Accordingly, an improved biometric technology is desired that solves at least one of the above-mentioned problems. Disclosure of Invention In order to solve the technical problems, the disclosure provides a biological feature recognition system, a biological feature recognition method and electronic equipment. According to an aspect of the invention, a biometric identification system is provided that includes a sensor array including a plurality of gas sensors configured to output a first gas detection signal based on a first gas that includes a target organism exhale gas, a sensor circuit board coupled to the sensor array configured to output a second gas detection signal based on the first gas detection signal, a sensor test system coupled to the sensor circuit board configured to output a feature vector signal based on the second gas detection signal, and a pattern recognition module coupled to the sensor test system configured to output a recognition signal based on the feature vector signal, the recognition signal being used to determine identity information of the target organism. Optionally, the plurality of gas sensors comprises at least one first type of sensor comprising a graphene-metal organic framework composite, the first type of sensor configured to output a first gas detection signal based on a characteristic volatile organic compound comprised by the first gas, at least one second type of sensor configured to output a humidity compensation signal based on an ambient humidity in which the first type of sensor is located, and at least one third type of sensor configured to output a temperature compensation signal based on an ambient temperature in which the first type of sensor is located. Alternatively, the sensitive material layer in the sensor array is fabricated on the MEMS substrate by a high precision inkjet printing process with a resolution of 50 microns. Optionally, the gas sensor further comprises a sensor testing cavity for containing the first gas, and the sensor array is arranged in the sensor testing cavity. Optionally, the sensor testing cavity comprises a gas inlet for introducing first gas, a suction pump coupled with the gas inlet and configured to drive the first gas to pass through the sensor testing cavity at a preset flow rate, and an insulating layer configured to maintain the temperature in the sensor testing cavity to be greater than or equal to a first threshold value and less than or equal to a second threshold value, wherein the first threshold value is less than the second threshold value, and the sensor array is arranged in the cavity of the sensor testing cavity. Optionally, the sensor circuit board comprises an analog-to-digital conversion module coupled with the sensor array and configured to perform analog-to-digital conversion on the first gas detection signal, a signal amplification module coupled with the analog-to-digital conversion module and configured to amplify the analog-to-digital converted first gas detection signal, and a communication interface coupled with the signal amplification module and configured to output the amplified first gas detection signal to the sensor test system. Optionally, the pattern recognition module is specifically configured to collect a first gas multiple times and adjust the recognition parameters of the pattern recognition module based on the first gas collected multiple times, wherein the first gas collected multiple times is d