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CN-122024362-A - Living body identification intelligent lock based on fingerprint and dynamic smell fusion and radar time sequence verification

CN122024362ACN 122024362 ACN122024362 ACN 122024362ACN-122024362-A

Abstract

The invention discloses a living body identification intelligent lock system and a living body identification intelligent lock method based on fingerprint and dynamic smell fusion and radar time sequence verification, and relates to the technical field of intelligent security. The invention realizes living body front detection through millimeter wave radar, combines fingerprint identification and human body dynamic odor characteristics to perform double biological authentication, and strictly checks the sequential logic of radar, fingerprint and odor, thereby fundamentally solving the problems that the traditional intelligent lock is easy to forge, crack and be easily interfered by environment. The invention does not depend on the absolute value of the gas concentration, but verifies the odor rising slope, the multi-sensor relative change proportion and the waveform time sequence characteristic in parallel, realizes high-precision and anti-interference living body identification, has the advantages of difficult counterfeiting, high safety, stable identification and the like, and is suitable for household door locks, office entrance guards and high-safety security scenes.

Inventors

  • WU ZIYU

Assignees

  • 吴梓煜

Dates

Publication Date
20260512
Application Date
20260330

Claims (10)

  1. 1. The living body identification intelligent lock control system based on fingerprint and dynamic smell fusion and radar time sequence verification is characterized by comprising: A main control module; (1) The millimeter wave radar module is electrically connected with the main control module and is used for detecting human body approaching and micro-motion signals in advance and sending living body pre-verification signals to the main control module; (2) The fingerprint acquisition module is electrically connected with the main control module and is used for acquiring fingerprint characteristics of a user; (3) The multichannel gas sensor array is electrically connected with the main control module and is used for collecting dynamic change data of volatile gas generated in the process of approaching a human body, wherein the dynamic change data comprise odor rising slope, relative change proportion of multiple sensors and waveform time sequence characteristics; (4) The storage module is electrically connected with the main control module and is used for pre-storing a user fingerprint characteristic template and a dynamic smell characteristic template; (5) The execution module is electrically connected with the main control module and is used for executing unlocking actions; the main control module is configured to perform joint verification on the radar time sequence, the fingerprint characteristics and the dynamic smell characteristics, and the execution module is controlled to unlock only when the radar detects that the human body and the fingerprint are successfully matched and the smell dynamic characteristics are successfully matched.
  2. 2. The system of claim 1, wherein the dynamic odor characteristic is independent of absolute gas concentration, and is identified based solely on a relative change ratio, a rise rate, and a time sequence relationship between the plurality of sensors.
  3. 3. The system of claim 1, wherein the master control module is configured to verify with the following sequential logic: (1) The millimeter wave radar detects human body micro-motion first; (2) The fingerprint collection is triggered and the matching is completed; (3) The gas sensor array synchronously collects dynamic odor characteristics which accord with the characteristics of users; if any sequence is not matched, judging that the living body attack is not performed and refusing unlocking.
  4. 4. The system of claim 1, wherein the identity authentication is a dual biometric fusion authentication, wherein fingerprint features are used as a first biometric dimension and dynamic odor features are used as a second biometric dimension, and wherein the two biometric dimensions are matched simultaneously.
  5. 5. The system of claim 1, wherein the multi-channel gas sensor array comprises at least a VOC sensor, a impurity gas sensor, and a temperature and humidity sensor.
  6. 6. The system of claim 1, wherein the millimeter wave radar module is configured to detect a precondition for living body detection, and wherein the fingerprint module and the gas sensor array are not activated when no valid human body micro-motion signal is present.
  7. 7. The intelligent lock control method based on fingerprint and dynamic smell fusion and radar time sequence verification is characterized by comprising the following steps: S1, detecting a millimeter wave radar in real time, and entering a pre-unlocking state when the human body is identified to be close to the inching; s2, triggering fingerprint acquisition by a user, and comparing fingerprint characteristics by a system; S3, acquiring human body odor dynamic change data in a preset time window by the multi-channel gas sensor array, and extracting dynamic odor characteristics, wherein the dynamic odor characteristics comprise odor rising slopes, multi-sensor relative change proportions and waveform time sequence characteristics; S4, the system respectively fuses and matches the fingerprint features and the dynamic smell features acquired in real time with a pre-stored template; S5, verifying the time sequence legality of radar, fingerprint and smell; S6, controlling unlocking if all the fingerprint matching, smell characteristic matching and time sequence verification pass, and otherwise, keeping locking.
  8. 8. The method according to claim 7, wherein in step S3, the waveform timing characteristics are obtained by calculating pearson correlation coefficients of a real-time odor curve and a pre-stored template curve, or by other curve similarity measurement methods such as dynamic time warping, cosine similarity, euclidean distance, and the like.
  9. 9. The method of claim 7, wherein in step S3, the predetermined time window is 0.3-0.5 seconds.
  10. 10. The method of claim 7, wherein the time sequence verification is an anti-counterfeiting core step, and the non-living attack modes such as smell first appearance, human body later appearance, fingerprint asynchronous triggering and the like are refused.

Description

Living body identification intelligent lock based on fingerprint and dynamic smell fusion and radar time sequence verification Technical Field The invention relates to the technical fields of intelligent security, intelligent door locks and biological recognition, in particular to a high-security intelligent lock system and a control method combining fingerprint recognition and human dynamic odor characteristic fusion and millimeter wave radar living body time sequence verification. Background The intelligent locks in the current market mostly adopt modes such as fingerprint, password, face recognition and the like, and have the following defects: 1. The fingerprint is easy to copy, forge and crack, and the security is not enough; 2. The traditional odor identification adopts static concentration or atlas, is easily interfered by perfume, lampblack, temperature and humidity, and has poor stability; 3. The single biological recognition mode has limited safety and lacks a living body judging mechanism; 4. The attack means such as spraying, false fingerprints, non-living body simulation and the like cannot be effectively resisted. Therefore, a new generation intelligent lock technology with double biological recognition, strong living body verification, interference resistance and incapability of forging is needed in the industry. Disclosure of Invention The invention discloses a living body identification intelligent lock based on fingerprint and dynamic smell fusion and radar time sequence verification, which realizes identity authentication with high stability and incapability of being cracked, forged and the like through triple verification of fingerprint characteristics, human body dynamic smell change characteristics and radar time sequence logic. The invention solves the technical problems that: 1. single fingerprint identification is easy to forge and has low safety; 2. Traditional odor identification is greatly disturbed by the environment and is unstable; 3. the living body detection mechanism is not available, so that the real person and the simulated attack cannot be distinguished; 4. the multisensor data cannot be synchronized and the recognition logic is unreliable. The technical scheme is as follows: a radar living body intelligent lock integrating fingerprint and dynamic smell comprises a main control module, a fingerprint acquisition module, a multi-channel gas sensor array, a millimeter wave radar module, a storage module and an execution module. 1. Radar timing pre-verification (Living body first step) The millimeter wave radar monitors the area in front of the door in real time, and after detecting micro/approaching of the human body, the system starts fingerprint and smell collection to form a radar priori time sequence. The lock does not work, and spray, gas bottle and fake fingerprint attack are refused from the source. 2. Fingerprint feature collection (first biological identification) The user touches the fingerprint module, and the system collects fingerprint characteristics and performs preliminary matching. And after the fingerprint is matched, entering an odor dynamic characteristic verification link. 3. Dynamic smell characteristic collection (second biological identification) The multichannel gas sensor array acquires smell dynamic waveforms of 0.3-0.5 seconds in the approach process of a user, and extracts the following three dynamic smell characteristics: (1) Odor rising slope, namely the rate of concentration change with time, and calculating the concentration change slope in the previous 0.3 seconds through linear regression; (2) A multi-sensor relative change ratio, such as a ratio of the amount of change in the VOC sensor to the amount of change in the impurity sensor within the collection window; (3) The waveform time sequence characteristics are used for evaluating the morphological similarity of a concentration curve acquired in real time and a pre-stored template curve, are preferably calculated by adopting a pearson correlation coefficient, and can also adopt other curve similarity measurement methods such as Dynamic Time Warping (DTW), cosine similarity or Euclidean distance. The system carries out joint matching on the three dynamic smell characteristics acquired in real time and a pre-stored template, and after all the three dynamic smell characteristics are successfully matched, the system can enter a subsequent fingerprint and smell fusion authentication link. 4. Fingerprint and smell dynamic characteristic fusion authentication The system performs joint matching on the fingerprint characteristics and the smell dynamic characteristics. Both pass, and the final timing verification is entered. 5. Sequential logic final verification (anti-fake core) The system strictly checks the time sequence: 1. The radar detects the person first 2. The fingerprint is triggered 3. Synchronous rising of odor character 4. Feature stable matching 5. Time sequence is completely consist