High-convenience and high-safety palm lock

Abstract

The invention discloses a highly convenient and safe palm lock, which comprises a lock body, a palm print acquisition module, a palm vein acquisition module, an iris recognition module, a control unit and a mechanical execution unit, and is characterized in that the palm print acquisition module is used for acquiring palm surface texture features and comprises an optical imaging unit and an infrared light supplement lamp; the palm vein acquisition module is used for acquiring vein blood vessel distribution characteristics in a palm and comprises a near-infrared light source and an infrared sensor; the iris recognition module is used for obtaining human eye iris texture features. Therefore, single-feature quick unlocking (convenience) and multi-feature combined verification (high safety) are supported, a user can dynamically configure a verification mode through a mobile phone APP to adapt to different scene requirements (such as household daily palmprint and office palmprint + iris), the three biological features are independently collected, the forging difficulty is high, the combined verification safety is high, and the verification efficiency is high. The palm fitting area is designed to be arc-shaped and aligned with the camera, and the identification time is less than or equal to 2 seconds.

Description

Technical Field

[0001] The present application relates to the technical field of security equipment, and in particular to a highly convenient and safe palm lock. Background Art

[0002] With the popularization of biometric technology in the security field, traditional mechanical locks (such as key locks and password locks) are gradually being eliminated due to defects such as easy copying and easy forgetting of passwords. Existing biometric locks are mainly divided into two categories:

[0003] 1. Single biometric locks (such as fingerprint locks and iris locks): Although they are convenient to a certain extent, they rely on a single feature (such as fingerprints are easy to forge and iris recognition is affected by light), and their security and reliability are limited. They cannot meet the personalized security needs of different users.

[0004] 2. Forced multi-biometric fusion locks: Improve security by verifying multiple biometric features (such as fingerprint + iris) at the same time, but require users to complete all feature verifications. The operation process is cumbersome and may result in the inability to unlock the lock in emergency scenarios (such as palm injuries and inability to collect palm prints), which is not convenient enough.

[0005] In addition, the existing technology lacks "configurable verification mode" smart locks - users cannot flexibly choose single feature quick unlocking or multi-feature combination verification according to actual needs (such as daily convenient unlocking or high-security verification in important scenarios). Therefore, there is an urgent need for a biometric lock that takes into account security, convenience and flexibility, and achieves a balance between operating efficiency and security strength through configurable verification modes. Summary of the invention

[0006] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0007] To this end, the first purpose of this application is to provide a highly convenient and secure palm lock that supports single-feature quick unlocking (convenience) and multi-feature combination verification (high security). Users can dynamically configure the verification mode through a mobile phone APP to adapt to different scenario requirements (such as palm prints for daily use at home, palm print + iris for office use).

[0008] The second purpose of the present application is to provide a highly convenient and secure palm lock, in which three biometric features are collected independently, a single feature is extremely difficult to forge, and the security is exponentially improved during combined verification, effectively preventing identity fraud.

[0009] The third purpose of the present application is to provide a highly convenient and secure palm lock, in which the arc-shaped design of the palm fitting area is aligned with the line of sight of the iris camera, reducing the user's operating posture adjustment, and the entire recognition process takes ≤2 seconds.

[0010] To achieve the above object, an embodiment of the first aspect of the present application provides a highly convenient and secure palm lock, which includes a lock body, a palmprint acquisition module, a palm vein acquisition module, an iris recognition module, a control unit, and a mechanical execution unit. Among them, the palmprint acquisition module is used to obtain the texture features on the palm surface and includes an optical imaging unit and an infrared fill light; the palm vein acquisition module is used to obtain the distribution features of the internal vein blood vessels of the palm and includes a near-infrared light source and an infrared sensor; the iris recognition module is used to obtain the iris texture features of the human eye and includes an autofocus camera and an iris positioning component; the control unit pre-stores the palmprint, palm vein, and iris feature templates of authorized users and supports the following three independent or combined verification modes: Single feature verification mode: Unlock can be achieved only by verifying any one of the palmprint, palm vein, or iris; Multi-feature combined verification mode: Unlock by fusing and verifying two or three features; Hybrid verification mode: Allow users to customize the priority and trigger conditions of the feature combination through an external terminal (such as a mobile APP). The three verification modes dynamically activate the corresponding biometric acquisition module according to the security level preset by the user, realizing an adaptive balance between operation efficiency and security intensity; the control unit is electrically connected to the palmprint acquisition module, the palm vein acquisition module, and the iris recognition module respectively, activates the corresponding module according to the verification mode and executes the matching algorithm; a lock tongue is provided in the lock body, which can be extended or retracted to realize the locked and unlocked states of the lock; the mechanical execution unit is electrically connected to the control unit, and the control unit sends corresponding instructions to the mechanical execution unit according to the verification result, and the mechanical execution unit drives the lock tongue to extend or retract based on this instruction to realize unlocking / locking.

[0011] A highly convenient and secure palm lock according to an embodiment of the present application supports single feature quick unlocking (convenience) and multi-feature combined verification (high security). Users can dynamically configure the verification mode through a mobile APP to adapt to different scenario requirements (such as using palmprint for daily home use and using palmprint + iris for the office). The three biometric features are independently collected, with high forgery difficulty and high security for combined verification. In addition, the arc design of the palm fitting area is aligned with the camera, and the recognition time is ≤2 seconds.

[0012] In addition, a highly convenient and secure palm lock according to the above-mentioned present application may further have the following additional technical features:

[0013] In an embodiment of the present application, the palmprint acquisition module and the palm vein acquisition module are integrated in the palm fitting area on the front of the lock body, and the autofocus camera of the iris recognition module is set 2-5 cm above the palm fitting area, and its lens optical axis is aligned with the line of sight direction when the user stands naturally.

[0014] In an embodiment of the present application, the single - feature verification mode of the control unit satisfies: Palmprint verification: Extract texture features through a Gabor filter. If the matching score ≥ 80 points, it is determined to pass. The matching score threshold is determined according to the experimental data with FAR (False Acceptance Rate) ≤ 0.001%; Palm vein verification: Extract the vascular network through near - infrared image skeletonization. If the matching score ≥ 85 points, it is determined to pass. The matching score threshold is determined according to the experimental data with FAR (False Acceptance Rate) ≤ 0.0005%; Iris verification: Encode iris texture through the Daugman operator. If the matching score ≥ 90 points, it is determined to pass. The matching score threshold is determined according to the experimental data with FAR (False Acceptance Rate) ≤ 0.0001%. When any single - item score meets the standard, the control unit sends an unlocking signal to the mechanical execution unit.

[0015] In an embodiment of the present application, the multi - feature combination verification mode includes: Two - feature fusion verification: Palmprint + palm vein (weighted score ≥ 85 points, weight ratio range is 0.3 - 0.7:0.7 - 0.3), palmprint + iris (weighted score ≥ 90 points, weight ratio range is 0.3 - 0.7:0.7 - 0.3) or palm vein + iris (weighted score ≥ 88 points, weight ratio range is 0.3 - 0.7:0.7 - 0.3); Three - feature fusion verification: Through the decision - tree voting mechanism, if any two pass, it is determined to pass. The user can customize the combination rule, matching threshold, and weight ratio range through an external terminal.

[0016] In an embodiment of the present application, the optical imaging unit is a CMOS camera with a resolution ≥ 500 dpi. The infrared fill light is arranged around the optical imaging unit. The near - infrared light source emits infrared light with a wavelength of 850 - 1000 nm. The infrared sensor and the near - infrared light source are arranged in an opposite layout to penetrate the palm to collect vein images.

[0017] In an embodiment of the present application, the control unit is internally provided with a microprocessor and a storage module. The microprocessor executes feature extraction algorithms and matching algorithms. The storage module stores biometric templates of authorized users, verification mode configuration information, and security level policies. The microprocessor is electrically connected to the palmprint acquisition module, palm vein acquisition module, iris recognition module, and mechanical execution unit through a cable.

[0018] In one embodiment of the present application, it also includes a human-computer interaction interface and a power module, wherein the power module is a built-in 4000mAh rechargeable lithium battery, which is arranged on the back of the lock body, electrically connected to each module through a circuit board, and supports USB-C emergency charging; the human-computer interaction interface includes an LED status indicator and a voice module, the LED status indicator is arranged at the edge of the palm fitting area, and the verification result is displayed in different colors (green passes, red fails), and the voice module automatically plays a voice prompt (such as "Please place your palm" and "Please look at the camera") when a palm is detected approaching, and is triggered synchronously with the verification process of the control unit.

[0019] In one embodiment of the present application, the mechanical execution unit includes a DC motor, a gear set, a transmission rack and a reset spring, wherein the DC motor drives the gear set to rotate after receiving an unlocking signal from the control unit; the transmission rack engages with the gear set to convert the rotational motion into linear motion to push the lock tongue to retract; the reset spring keeps the lock tongue in an extended state when the power is off to ensure safety.

[0020] In one embodiment of the present application, the lock body is made of aluminum alloy and the surface is covered with a non-slip silicone layer. The palm fitting area is designed as an arc-shaped groove to adapt to the natural curvature of the palm, and an anti-glare protection lens is arranged on the outside of the iris recognition module.

[0021] In one embodiment of the present application, the control unit also includes a communication module that supports communication with a mobile terminal via Bluetooth or Wi-Fi. A user can remotely configure a verification mode, update a biometric template, or query unlocking records via a mobile phone APP. The Bluetooth or Wi-Fi communication uses an AES-256 encryption protocol, and the communication module is integrated on a circuit board of the control unit.

[0022] The advantages of this application compared with the existing technology are:

[0023] (1) It supports single-feature quick unlocking (convenience) and multi-feature combination verification (high security). Users can dynamically configure the verification mode through the mobile phone APP to adapt to different scenario requirements (such as palm print for daily use at home, palm print + iris for office use).

[0024] (2) The three biometric features are collected independently, and it is extremely difficult to forge a single feature. When combined for verification, security is exponentially improved, effectively preventing identity fraud.

[0025] (3) The arc-shaped design of the palm-fitting area is aligned with the line of sight of the iris camera, reducing the user's operating posture adjustment. The entire recognition process takes ≤ 2 seconds.

[0026] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. Description of the Drawings

[0027] The above-mentioned and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description of embodiments in conjunction with the drawings, wherein:

[0028] Figure 1 Is a perspective view of a highly convenient and safe palm lock according to an embodiment of the present application;

[0029] Figure 2 Is a perspective view of a highly convenient and safe palm lock according to another embodiment of the present application;

[0030] Figure 3 Is a schematic diagram of the control connection of a highly convenient and safe palm lock according to an embodiment of the present application;

[0031] Figure 4 Is an overall framework diagram of a highly convenient and safe palm lock according to an embodiment of the present application;

[0032] As shown in the figure: 1. Lock body; 2. Palmprint acquisition module; 3. Palm vein acquisition module; 4. Iris recognition module; 5. Control unit; 6. Mechanical execution unit; 7. Human-machine interaction interface; 8. Power supply module; 21. Optical imaging unit; 22. Infrared fill light; 31. Near-infrared light source; 32. Infrared sensor; 41. Auto-focus camera; 42. Anti-glare protection lens; 51. Built-in microprocessor; 52. Storage module; 53. Communication module; 61. Lock tongue; 62. DC motor; 63. Gear set; 64. Transmission rack; 65. Return spring; 71. LED status indicator; 72. Voice module; 11. Palm fitting area; 12. Anti-slip silica gel layer. Detailed Embodiments

[0033] The following describes a highly convenient and safe palm lock according to an embodiment of the present application in conjunction with the drawings.

[0034] As Figures 1-4 shown, a highly convenient and safe palm lock according to an embodiment of the present application may include a lock body 1, a palmprint acquisition module 2, a palm vein acquisition module 3, an iris recognition module 4, a control unit 5, and a mechanical execution unit 6.

[0035] It can be understood that the lock body 1 serves as an overall support structure, internally integrating the palmprint acquisition module 2, the palm vein acquisition module 3, the iris recognition module 4, the control unit 5, and the mechanical execution unit 6, and externally provided with a biometric acquisition area for user operation and a lock hole structure for the lock tongue 61 to extend / retract.

[0036] The palm print acquisition module 2 includes an optical imaging unit 21 (such as a CMOS camera with a resolution of 500 dpi) and infrared fill lights 22 surrounding it, which are used to acquire the texture image of the palm surface. The fill lights are automatically activated when the light is insufficient to ensure image clarity.

[0037] The palm vein acquisition module 3 consists of a near-infrared light source 31 (with a wavelength of 850 - 1000 nm) and infrared sensors 32 arranged in an opposing layout. When the light source penetrates the palm, the vein blood vessels form shadows due to the difference in the absorption rate of hemoglobin for near-infrared light, and the sensors receive and convert them into the distribution image of the vein blood vessels.

[0038] The iris recognition module 4 uses an autofocus camera 41 (supporting focal length adjustment from 0.3 - 1 m) to acquire the human eye image, and precisely locates the iris area through a built-in iris positioning component (such as the Daugman circle detection algorithm) to extract texture features.

[0039] The control unit 5 pre-stores the palm print, palm vein, and iris feature templates of authorized users. It is electrically connected to the acquisition module through a flexible cable, receives the feature data, and executes the verification logic.

[0040] The mechanical execution unit 6 is electrically connected to the control unit 5 and includes a driving mechanism and a locking tongue 61. The locking tongue 61 normally protrudes from the lock body 1 and engages with the door frame lock catch to achieve locking; after receiving the unlocking instruction from the control unit, it retracts to achieve unlocking.

[0041] Verification Modes and Workflows:

[0042] 1. User triggers acquisition

[0043] According to the preset verification mode, the user triggers the corresponding module in the following ways:

[0044] Single feature verification: Only place the palm to trigger the palm print / palm vein module, or look at the camera to trigger the iris module;

[0045] Multi-feature combination verification: Place the palm and look at the camera simultaneously to activate all three modules;

[0046] Hybrid verification: Preset conditions (such as time, location) through the mobile phone APP to automatically activate the specified module (such as only palm print on weekdays, palm print + iris on weekends).

[0047] 2. Feature acquisition and transmission

[0048] The optical imaging unit 21 acquires the palm print image with the assistance of the infrared fill lights 22 and converts it into an electrical signal for transmission to the control unit 5;

[0049] The near-infrared light source 31 irradiates the palm, and the infrared sensors 32 receive the transmitted light signal, generate the vein blood vessel image and transmit it;

[0050] The autofocus camera 41 of the iris recognition module 4 captures an iris image, which is preprocessed by the positioning component and then transmitted to the control unit.

[0051] 3. Verification Logic of the Control Unit

[0052] Feature preprocessing: Denoise, normalize, etc. the images transmitted by each module, and extract feature vectors (such as Gabor filter features of palm prints, skeletonization features of veins, and Daugman coding features of irises).

[0053] Pattern matching:

[0054] Single feature pattern: Compare the real-time feature with the pre-stored template. If the score exceeds the threshold (e.g., palm print ≥ 80 points), it is determined to pass.

[0055] Multi-feature pattern: Fuse the scores of multiple features through weighted summation or decision tree voting. If the combined rule is satisfied (e.g., the weighted sum of two features ≥ 85 points), it passes.

[0056] Hybrid pattern: According to the priority preset by the mobile phone APP (e.g., palm print first), verify the specified feature combination sequentially or synchronously.

[0057] 4. Mechanical Execution and Unlocking

[0058] After the verification passes, the control unit 5 sends an unlocking instruction to the mechanical execution unit 6, and the driving mechanism drives the lock tongue 61 to retract to complete the unlocking; if the verification fails, the lock tongue 61 remains in the extended state to maintain the locked state.

[0059] In an embodiment of the present application, as Figures 1-4 shown, the palm print acquisition module 2 and the palm vein acquisition module 3 are integrated in the palm fitting area 11 on the front of the lock body 1. The autofocus camera 41 of the iris recognition module 4 is set 2 - 5 cm above the palm fitting area 11, and its lens optical axis is aligned with the line of sight direction when the user stands naturally.

[0060] It can be understood that a palm fitting area 11 is provided in the center of the front of the lock body 1, which is an arc-shaped groove (curvature radius 90 mm) with a size of 80 mm × 60 mm, adapted to the natural bending form of the palm. This area integrates:

[0061] In the center of the palm print acquisition module 2, an optical imaging unit 21 (500 dpi CMOS camera) is embedded, the surface is covered with a light-transmitting glass, and infrared supplementary lights 22 are surrounded around to ensure clear imaging of the palm pattern.

[0062] At the bottom of the palm vein acquisition module 3, a near-infrared light source 31 (wavelength 850 nm) is installed, and an infrared sensor 32 is provided at the corresponding position on the top. The two are arranged opposite to each other to penetrate the palm to acquire the vein blood vessel image.

[0063] The autofocus camera 41 is fixed 3 cm directly above the fitting area 11, with the optical axis of the lens at a 12° elevation angle to the horizontal plane, and is strictly aligned with the line of sight of a user with a height of 1.6 - 1.9 m standing naturally (error ≤ ±3°), allowing the user to look at it without raising or lowering their head.

[0064] Collaborative workflow (taking daily unlocking as an example):

[0065] 1. User trigger and module activation

[0066] When the palm approaches the lock body 1 (distance ≤ 15 cm), the proximity sensor (prior art, not labeled) in the fitting area 11 is triggered:

[0067] The infrared fill light 22 of the palmprint module 2 and the near-infrared light source 31 of the palm vein module 3 are automatically turned on;

[0068] The camera 41 of the iris module 4 starts autofocusing and locks the iris area through an eye detection algorithm.

[0069] 2. Biometric synchronous acquisition

[0070] Palmprint / palm vein acquisition:

[0071] The user places the palm flat on the fitting area 11, with the palm center touching the optical imaging unit 21:

[0072] The optical camera 21 acquires a palmprint RGB image (resolution 500×500 pixels);

[0073] The near-infrared light source 31 penetrates the palm, and the infrared sensor 32 receives the transmitted light to generate a palm vein grayscale image (reflecting the blood vessel distribution).

[0074] Iris acquisition:

[0075] Since the camera 41 is located directly above and the optical axis is aligned with the line of sight, when the user naturally looks at the lock, the iris automatically enters the field of view of the lens (focal length 0.5 m), and the camera 41 acquires a 1080P iris image and segments the iris area through the built-in positioning component.

[0076] 3. Data processing and verification

[0077] The acquired palmprint, palm vein, and iris images are transmitted to the control unit 5 through a cable:

[0078] The palmprint image is processed by a Gabor filter to extract texture features;

[0079] The palm vein image is processed by OTSU threshold segmentation to extract the blood vessel skeleton;

[0080] The iris image is processed by the Daugman operator to locate the iris boundary and encode the texture.

[0081] The control unit 5 verifies according to a preset mode (such as the single palmprint mode: unlocking is allowed when the matching score ≥ 80 points). After successful verification, it sends an unlocking signal to the mechanical execution unit 6.

[0082] 4. User experience optimization

[0083] Contactless operation: The arc-shaped fitting area 11 guides the palm to quickly locate, and the design of aligning the line of sight of the camera 41 eliminates the need for posture adjustment. The entire acquisition process takes ≤ 1.5 seconds.

[0084] In an embodiment of the present application, as Figures 1-4 shown, the single feature verification mode of the control unit 5 satisfies: Palmprint verification: The texture features are extracted through a Gabor filter. When the matching score ≥ 80 points, it is determined to pass. The matching score threshold is determined according to the experimental data with FAR (False Acceptance Rate) ≤ 0.001%. Palm vein verification: The vascular network is extracted through the skeletonization of the near-infrared image. When the matching score ≥ 85 points, it is determined to pass. The matching score threshold is determined according to the experimental data with FAR (False Acceptance Rate) ≤ 0.0005%. Iris verification: The iris texture is encoded through the Daugman operator. When the matching score ≥ 90 points, it is determined to pass. The matching score threshold is determined according to the experimental data with FAR (False Acceptance Rate) ≤ 0.0001%. When any single item score reaches the standard, the control unit 5 sends an unlocking signal to the mechanical execution unit 6.

[0085] It can be understood that the processes of each feature verification are as follows:

[0086] (I) Palmprint verification

[0087] When the user places the palm on the palmprint acquisition module 2, the optical imaging unit 21 in the palmprint acquisition module 2, with the assistance of the infrared fill light 22, obtains a clear palm surface texture image. After the acquired image data is transmitted to the control unit 5, the control unit 5 uses a Gabor filter to process the palmprint image and extract the texture features therein. The Gabor filter has good direction selectivity and scale selectivity, and can effectively capture the texture information of the palmprint.

[0088] The control unit 5 matches the extracted real-time palmprint features with the authorized user's palmprint feature template pre-stored in the storage module. The similarity between the two is calculated through a specific matching algorithm, and the similarity is converted into a matching score.

[0089] If the matching score is greater than or equal to 80 points, the control unit 5 determines that the palmprint verification is passed. This score threshold is determined based on a large amount of experimental data to ensure that the False Acceptance Rate (FAR) ≤ 0.001%, that is, the probability of misidentifying a non-authorized user as an authorized user is extremely low.

[0090] (II) Palm vein verification

[0091] When the palm vein collection module 3 is working, the near-infrared light source 31 emits infrared light with a wavelength of 850 - 1000 nm to penetrate the palm, and the infrared sensor 32 receives the transmitted light and generates a near-infrared image of the internal vein blood vessel distribution of the palm. After the image data is transmitted to the control unit 5, the control unit 5 performs skeletonization processing on the near-infrared image to extract the skeleton features of the vein blood vessel network.

[0092] The control unit 5 matches the extracted real-time palm vein skeleton features with the pre-stored palm vein feature templates of authorized users and calculates the matching score.

[0093] When the matching score is greater than or equal to 85 points, the control unit 5 determines that the palm vein verification is passed. This score threshold is based on experimental data, ensuring that the false acceptance rate FAR ≤ 0.0005%, further improving the accuracy and security of the verification.

[0094] (III) Iris Verification

[0095] When the user gazes at the autofocus camera 41 of the iris recognition module 4, the camera 41 collects the human eye iris image. After the control unit 5 receives the image data, it encodes the iris texture using the Daugman operator and extracts the representative iris features.

[0096] The control unit 5 matches the real-time extracted iris features with the pre-stored iris feature templates of authorized users to obtain the matching score.

[0097] If the matching score is greater than or equal to 90 points, the control unit 5 determines that the iris verification is passed. This score threshold is based on experimental data, making the false acceptance rate (FAR) ≤ 0.0001%, providing extremely high security for the verification.

[0098] After the control unit 5 completes the verification of one of the palmprint, palm vein or iris features, if the single score meets the standard, the control unit 5 will immediately send an unlocking signal to the mechanical execution unit 6. After receiving the signal, the mechanical execution unit 6 drives the lock tongue 61 to retract to achieve the unlocking operation of the palm lock. If the verification scores of all single features do not meet the standard, no unlocking signal will be sent and the palm lock remains in the locked state.

[0099] In an embodiment of the present application, as Figures 1-4As shown in the figure, the multi-feature combination verification mode includes: two-feature fusion verification: palmprint + palm vein (weighted score ≥ 85 points, weight ratio range is 0.3 - 0.7:0.7 - 0.3), palmprint + iris (weighted score ≥ 90 points, weight ratio range is 0.3 - 0.7:0.7 - 0.3) or palm vein + iris (weighted score ≥ 88 points, weight ratio range is 0.3 - 0.7:0.7 - 0.3); three-feature fusion verification: through the decision tree voting mechanism, if any two pass, it is determined to pass. Users can customize the combination rules, matching thresholds and weight ratio ranges through an external terminal.

[0100] It can be understood that the two-feature fusion verification process (taking "palmprint + iris" as an example)

[0101] The user enters the verification mode setting interface through the mobile APP (external terminal) and selects the "palmprint + iris" combination:

[0102] Set the weight ratio to 0.4:0.6 (within the range of 0.3 - 0.7:0.7 - 0.3);

[0103] Set the weighted score threshold to ≥ 90 points.

[0104] The configuration data is transmitted to the control unit 5 through Bluetooth / Wi-Fi (communication module 53) and stored in the storage module 52.

[0105] The user places the palm on the palmprint fitting area 11, triggering the optical imaging unit 21 and the infrared fill light 22 of the palmprint acquisition module 2 to acquire the palmprint image; at the same time, looking at the iris camera 41, triggering the iris module 4 to acquire the iris texture.

[0106] Since the palm vein module 3 is not selected, it remains in the sleep state (only activating the selected feature modules to reduce power consumption).

[0107] Palmprint feature: Extract 128-dimensional texture features through the Gabor filter, and the matching score S1 = 85 points (hypothesis);

[0108] Iris feature: Encode 2048-dimensional texture features through the Daugman operator, and the matching score S2 = 92 points (hypothesis);

[0109] Weighted score calculation: S1×0.4 + S2×0.6 = 85×0.4 + 92×0.6 = 88.4 points

[0110] Since 88.4 points < 90 points (the threshold set by the user), the verification has not passed temporarily (if the score ≥ the threshold, the unlocking process will be entered).

[0111] If the user does not customize the weights, the control unit 5 adopts the default weight ratio of 0.5:0.5 to ensure stability in general scenarios;

[0112] The weighted algorithm is calculated in parallel by the microprocessor 51, and the time consumed for fusing two features is ≤ 1.2 seconds (superior to the time accumulation of sequential verification of single features).

[0113] Three-feature fusion verification process (decision tree voting mechanism)

[0114] When the user triggers the "three-feature fusion" mode (such as presetting a high-security scenario through the APP), the palmprint module 2, palm vein module 3, and iris module 4 are synchronously activated:

[0115] The palmprint image is collected by the optical imaging unit 21;

[0116] The palm vein image is collected by the near-infrared light source 31 + infrared sensor 32;

[0117] The iris image is collected by the autofocus camera 41.

[0118] The control unit 5 conducts preliminary verification on the three features respectively (using single-feature thresholds, such as palmprint ≥ 80 points, palm vein ≥ 85 points, iris ≥ 90 points):

[0119] The palmprint score is 88 points (passed), the palm vein score is 83 points (failed), and the iris score is 95 points (passed).

[0120] Build a three-layer decision tree:

[0121] The first layer: Any two features pass (a total of 3 combinations: palmprint + palm vein, palmprint + iris, palm vein + iris);

[0122] The second layer: If "palmprint + iris" passes (in this example, two features pass), directly determine that the overall verification passes;

[0123] The third layer: If only one feature passes, enter the secondary verification (such as raising the single-feature threshold to 90 points to avoid false rejection).

[0124] In this example, "palmprint + iris" passes, and the decision tree outputs a "verification passed" signal.

[0125] The decision tree mechanism allows a single feature to be unlocked through the combination of the other two features in case of environmental interference (such as the palm vein fails to pass due to palm stains), reducing the false rejection rate (FRR);

[0126] When verifying the three features simultaneously, the microprocessor 51 adopts the pipeline processing technology, and the total time consumption is ≤ 2 seconds, meeting the real-time requirement.

[0127] Through the mobile APP interface, the user can:

[0128] Select the combination type (two features / three features);

[0129] Drag the slider to set the weight ratio (e.g., palmprint weight 0.3 - 0.7, step 0.1);

[0130] Customize the matching threshold in the input box (e.g., adjust the threshold of "palmprint + palm vein" from 85 points to 80 points).

[0131] The custom rules are transmitted to the control unit 5 through the AES - 256 encryption protocol (by the communication module 53) and stored in the secure partition of the storage module 52;

[0132] Support the storage of 20 groups of custom rules to meet the differentiated needs of multiple users (e.g., set "palmprint + iris" for home users and "all three verifications" for enterprise users).

[0133] In an embodiment of the present application, as Figures 1-4 shown, the optical imaging unit 21 is a CMOS camera with a resolution ≥ 500 dpi. The infrared fill light 22 is arranged around the optical imaging unit 21. The near - infrared light source 31 emits infrared light with a wavelength of 850 - 1000 nm, and the infrared sensor 32 is arranged opposite to the near - infrared light source 31 to penetrate the palm to collect vein images.

[0134] It can be understood that the optical imaging unit 21 uses a CMOS camera with a resolution ≥ 500 dpi (such as Sony IMX219), with a pixel size of 1.75μm × 1.75μm, which can clearly capture the texture details (such as papillary lines, main lines, wrinkles) on the palm surface above 0.05 mm, ensuring the integrity of palmprint feature extraction.

[0135] The infrared fill light 22 is composed of 4 infrared LED lights with a wavelength of 850 nm, evenly distributed around the optical imaging unit 21. It is automatically turned on when the ambient light intensity < 10 lux, and fills light through the reflective imaging principle, eliminating palm shadows and enhancing the texture contrast to ensure the image quality in night or backlight environments.

[0136] The near - infrared light source 31 integrates 2 infrared laser diodes (LD) with a wavelength of 850 - 1000 nm and a power of 50 mW. The emitted near - infrared light can penetrate the palm epidermis (penetration depth 3 - 5 mm). Since the hemoglobin in the vein blood vessels has a higher absorption rate of light in this wavelength band than the surrounding tissues, a bright - dark contrast vein blood vessel image is formed.

[0137] The infrared sensor 32 is arranged opposite to the near - infrared light source 31 at 180° (spacing 80 mm). It uses an InGaAs infrared detector with a sensitivity ≥ 0.8 A / W, receives the infrared light transmitted through the palm and converts it into a grayscale image with a resolution of 500 × 500 pixels, effectively capturing vein blood vessels with a diameter ≥ 0.3 mm.

[0138] The optical imaging unit 21 shares the same acquisition area 11 with the near-infrared light source 31 / sensor 32, ensuring that the spatial coordinates of the palmprint and palm vein images are consistent (deviation ≤ 0.1 mm), which is convenient for position registration during multi-feature fusion.

[0139] Palmprint imaging relies on visible light reflection, while palm vein imaging relies on near-infrared light transmission. The combination of the two covers the characteristics of the epidermis and subcutaneous tissue, enhancing the uniqueness and anti-counterfeiting of biometric features.

[0140] In one embodiment of the present application, as Figures 1-4 shown, the control unit 5 incorporates a microprocessor 51 and a storage module 52. The microprocessor 51 executes feature extraction algorithms and matching algorithms, and the storage module 52 stores biometric templates of authorized users, verification mode configuration information, and security level policies. The microprocessor 51 is electrically connected to the palmprint acquisition module 2, palm vein acquisition module 3, iris recognition module 4, and mechanical execution unit 6 through a flexible cable.

[0141] It can be understood that the control unit 5 is integrated on the internal circuit board of the lock body 1, and its core components include:

[0142] The microprocessor 51 uses an ARM Cortex-M4 chip (main frequency 168 MHz), supports floating-point operations and hardware encryption, and is responsible for executing feature extraction, matching algorithms, and system control logic;

[0143] The storage module 52 is an 8GB Flash memory, which is divided into a biometric area, a configuration area, and a log area, storing authorized user templates, verification mode parameters, and unlocking records respectively;

[0144] It is electrically connected to the palmprint module 2, palm vein module 3, iris module 4, and mechanical execution unit 6 through a 40-pin FPC flexible cable, with a transmission rate ≥ 480 Mbps.

[0145] Detailed Workflow

[0146] 1. Biometric Enrollment Process

[0147] User operation: Select "Enroll New User" through the human-computer interaction interface 7, and sequentially collect palmprint, palm vein, and iris features (taking palmprint as an example):

[0148] The optical imaging unit 21 of the palmprint acquisition module 2 obtains 3 palm images at different angles and transmits them to the microprocessor 51;

[0149] The microprocessor 51 runs the Gabor filter algorithm to extract the texture orientation field and frequency features, and generates a 128-dimensional feature vector;

[0150] The feature vector is encrypted by AES-256 and stored in the biometric area of the storage module 52, associated with the user ID (such as 001).

[0151] 2. Verification Mode Configuration Process

[0152] The user sets the "Daily Mode" (palmprint single-feature verification) through the mobile APP:

[0153] The APP sends a configuration instruction (palmprint weight 1.0, threshold 80 points) to the communication module 53 of the control unit 5;

[0154] The microprocessor 51 parses the instruction and stores the "Daily Mode" parameters (verification mode = single, feature = palmprint, threshold = 80) in the configuration area of the storage module 52;

[0155] The storage module 52 synchronizes to the cache of the microprocessor 51 in real time for quick call during verification.

[0156] 3. Real-time Verification and Control Process

[0157] Taking the "palmprint + iris" combined verification as an example:

[0158] The palmprint module 2 and the iris module 4 synchronously collect data and transmit it to the microprocessor 51 through the ribbon cable;

[0159] The palmprint image generates a feature vector V1 through Gabor filtering, and the iris image generates a feature vector V2 through the Daugman operator.

[0160] The microprocessor 51 reads the palmprint template T1 and iris template T2 of user 001 from the storage module 52;

[0161] Calculate the Hamming distance: the palmprint matching score S1 = 88 points, and the iris matching score S2 = 93 points;

[0162] Calculate the weighted score according to the weight ratio in the configuration area (palmprint 0.4 + iris 0.6): 88×0.4 + 93×0.6 = 91 points (≥90 points threshold, verification passed).

[0163] The microprocessor 51 sends an unlocking signal (high-level pulse) to the mechanical execution unit 6;

[0164] The DC motor 62 of the mechanical execution unit 6 drives the gear set 63 to rotate, and pushes the lock tongue 61 to retract through the transmission rack 64 to complete unlocking.

[0165] 4. Application of Security Level Policy

[0166] Scenario: The user sets the "Night Mode" to three-factor fusion verification:

[0167] The security policy area of the storage module 52 records the trigger condition (23:00 - 7:00) and the verification rule (any two of the three features need to pass).

[0168] The microprocessor 51 reads the system time in real time and automatically switches to the three - fusion mode at night.

[0169] During verification, if the palmprint (85 points), palm vein (83 points), and iris (92 points), the decision - tree voting determines that "palmprint + iris" passes and triggers unlocking.

[0170] In an embodiment of the present application, as Figures 1-4 shown, it further includes a human - machine interaction interface 7 and a power supply module 8. Among them, the power supply module 8 is an in - built rechargeable lithium battery with a capacity of 4000 mAh, which is set on the back of the lock body 1 and is electrically connected to each module through a circuit board, supporting USB - C emergency charging. The human - machine interaction interface 7 includes an LED status indicator 71 and a voice module 72. The LED status indicator 71 is set at the edge of the palm - fitting area 11 and displays the verification result through different colors (green for passing, red for failing). The voice module 72 automatically plays voice prompts (such as "Please place your palm", "Please look at the camera") when detecting the approach of the palm and is triggered synchronously with the verification process of the control unit 5.

[0171] It can be understood that a rechargeable lithium battery with a capacity of 4000 mAh (model: 18650) is adopted, with an energy density ≥ 260 Wh / kg, supporting more than 500 cycles of charge and discharge, and a battery life ≥ 12 months (calculated based on 10 unlocks per day).

[0172] The battery management chip monitors the battery power in real time. When the battery power ≤ 10%, it triggers a low - power alarm (prompting "Insufficient power, please charge" through the voice module 72).

[0173] The side of the lock body 1 is provided with a USB - C emergency charging interface (compliant with the USB 3.1 protocol). When the built - in battery is exhausted, connecting a 5V / 2A charger can provide temporary power supply, giving priority to ensuring the operation of the control unit 5 and the mechanical execution unit 6 to ensure emergency unlocking.

[0174] Power supply logic: Normal working mode:

[0175] The lithium battery outputs a stable voltage of 3.3V / 5V to each module through the circuit board:

[0176] The optical imaging unit 21 and the infrared supplementary light 22 of the palmprint acquisition module 2: 5V power supply, peak current 200 mA;

[0177] The microprocessor 51 and the storage module 52 of the control unit 5: 3.3V power supply, continuous current 50 mA;

[0178] DC motor 62 of the mechanical execution unit 6: directly powered by 3.7V, with a peak current of 500mA when unlocking.

[0179] In the non-working state (when no palm is approaching), except for the PIR sensor (not labeled, used to detect the approach of the palm), other modules enter the sleep state, and the overall power consumption ≤ 10μA.

[0180] Four RGB LED lights surround the upper left corner of the palm fitting area 11, with a size of φ3mm, and the brightness is automatically adjusted (ambient light sensing not labeled) to ensure clear visibility in strong / weak light.

[0181] Integrated MEMS microphone (for environmental noise reduction) and 8Ω speaker, supporting 16bit / 44.1kHz audio playback, and the voice files are stored in the storage module 52 of the control unit 5.

[0182] Interaction process:

[0183] Palm approach trigger:

[0184] When the PIR sensor detects the approach of the palm (distance ≤ 10cm), the voice module 72 automatically plays the guiding language: "Please place your palm and look at the camera", and at the same time, the LED indicator 71 switches to a blue breathing light.

[0185] Verification process prompt:

[0186] When collecting palmprint / palm vein: "Please keep your palm still";

[0187] When focusing on the iris: "Identifying iris, please look at the lens".

[0188] Result feedback:

[0189] Verification passed: "Unlocking successful, welcome home", accompanied by a green LED staying on;

[0190] Verification failed: "Identification error, please try again", accompanied by a red LED flashing, and at the same time, the mechanical execution unit 6 keeps the lock tongue 61 extended.

[0191] Synchronous trigger mechanism:

[0192] The voice module 72 is connected to the control unit 5 through the I2S bus. Each key node in the verification process (such as "feature collection starts", "matching calculation in progress", "result output") is triggered by the microprocessor 51 to send instructions to play the corresponding voice file, ensuring audio-visual synchronization (delay ≤ 50ms).

[0193] Example of collaborative work (user's full unlocking process):

[0194] 1. The user approaches the lock (distance ≤ 15cm):

[0195] The power supply module 8 wakes up the human infrared sensor in the sleep state, triggering the human-computer interaction interface 7:

[0196] The blue breathing light of the LED indicator 71 lights up, and the voice module 72 prompts "Please place your palm".

[0197] 2. Palm placement and feature collection:

[0198] The palmprint module 2 and the iris module 4 work synchronously, and the power supply module 8 provides 5V / 3.3V power to them;

[0199] The voice module 72 synchronously prompts: "Please look at the camera, and the iris is being collected."

[0200] 3. Verification result feedback:

[0201] If the control unit 5 determines that it passes (such as the palmprint score is 85 points):

[0202] The LED indicator 71 lights up green constantly, and the voice prompt is "Unlocking successful";

[0203] The power supply module 8 supplies power to the mechanical execution unit 6, driving the lock tongue 61 to retract.

[0204] If the verification fails:

[0205] The LED flashes red, and the voice prompt is "Recognition failed, please place your palm again", and at the same time, the power supply module 8 maintains a low-power state to avoid invalid power consumption.

[0206] 4. Charging scenario:

[0207] When the user charges emergently through the USB-C interface:

[0208] The LED indicator 71 shows yellow constantly, and the voice module 72 prompts "Charging, can be used normally";

[0209] The power supply module 8 preferentially supplies power to the control unit 5 and the human-computer interaction interface 7 to ensure that the lock can still be opened during charging.

[0210] In an embodiment of the present application, as Figures 1-4 shown, the mechanical execution unit 6 includes a DC motor 62, a gear set 63, a transmission rack 64, and a return spring 65. Among them, after receiving the unlocking signal from the control unit 5, the DC motor 62 drives the gear set 63 to rotate. The transmission rack 64 meshes with the gear set 63, converting the rotational motion into a linear motion to push the lock tongue 61 to retract. The return spring 65 keeps the lock tongue 61 in the extended state when powered off to ensure safety.

[0211] It can be understood that the mechanical execution unit 6 is integrated inside the lock body 1 and is the core transmission mechanism for realizing unlocking / locking, including four major components:

[0212] DC motor 62: a 3.7V micro motor with a rated speed of 1000 rpm, which starts after receiving the electrical signal from the control unit 5;

[0213] Gear set 63: a three-stage reduction gear (reduction ratio 10:1), which converts the high-speed rotation of the motor into low-speed and high-torque rotation;

[0214] Transmission rack 64: a linear rack meshing with the gear set 63, with a tooth pitch of 1 mm, which converts the rotational motion of the gear into linear motion;

[0215] Return spring 65: a cylindrical compression spring (elastic coefficient 8 N / mm), with both ends connected to the lock body 1 and the lock tongue 61 respectively, providing a return elastic force when powered off.

[0216] Normal unlocking working process (driven by the control unit):

[0217] 1. Electrical signal triggering

[0218] After the microprocessor 51 of the control unit 5 determines that the verification is passed, it sends a high-level unlocking signal (3.7V, lasting for 1.5 seconds) to the DC motor 62;

[0219] The power module 8 supplies power to the motor 62, and the current drives the armature winding to rotate through the carbon brush.

[0220] 2. Gear set deceleration and torque increase

[0221] The output shaft of the motor 62 drives the first-stage gear (tooth number 10) to rotate, meshing with the second-stage gear (tooth number 30) to achieve 3-fold deceleration, and then further decelerating to 100 rpm through the third-stage gear (tooth number 30);

[0222] The output torque of the decelerated gear set 63 is increased from 0.1 N·m to 1 N·m, ensuring sufficient power to push the lock tongue 61.

[0223] 3. Rack transmission and lock tongue retraction

[0224] The last-stage gear (tooth number 40) of the gear set 63 drives the transmission rack 64 to move horizontally to the right by a stroke of 15 mm (corresponding to the distance required for the complete retraction of the lock tongue);

[0225] The rack 64 is connected to the tail of the lock tongue 61 through a pin shaft, driving the lock tongue 61 to retract from the front end of the lock body 1 to achieve unlocking.

[0226] In an embodiment of the present application, as Figures 1-4 shown, the lock body 1 is made of aluminum alloy, with an anti-slip silicone layer 12 covering the surface. The palm-fitting area 11 is designed as an arc-shaped groove to adapt to the natural bending form of the palm. An anti-glare protection lens 42 is provided outside the iris recognition module 4.

[0227] It is understandable that the lock body 1 is made of 6063-T5 aluminum alloy profile, processed by CNC one-piece forming process, with a wall thickness of 3 mm, a tensile strength of ≥205 MPa, combining light weight (300 g) and high strength (able to withstand 500 N impact force), meeting the Class B standard of GB17565-2007 General Technical Conditions for Anti-theft Security Doors.

[0228] The surface of the anti-slip silicone layer 12 is covered with a 1-mm-thick food-grade silicone layer, with a surface roughness Ra ≤ 3.2 μm, combined with the aluminum alloy body through in-mold injection molding process, and the friction coefficient ≥ 0.8 (dry environment), ensuring that users are not prone to slipping when holding, especially suitable for wet or sweaty scenarios.

[0229] When the user approaches the lock, the palm naturally fits the arc-shaped groove 11, and the anti-slip silicone layer 12 provides tactile feedback to ensure that the optical imaging unit 21 of the palmprint acquisition module 2 is directly facing the palm pattern, and the near-infrared light source 31 and the sensor 32 of the palm vein module 3 are aligned with the center area of the palm.

[0230] There is no need to deliberately adjust the posture, which conforms to the ergonomic "zero learning cost" design, and the correct placement rate of first-time users ≥ 98%.

[0231] In outdoor strong light environment, the anti-glare lens 42 filters more than 90% of the direct light interference, and the camera 41 collects iris images through infrared supplementary light (non-visible band), avoiding the texture occlusion caused by the pupil contraction due to strong light, ensuring that the iris recognition success rate ≥ 99.5%.

[0232] In an embodiment of the present application, as Figures 1-4 shown, the control unit 5 further includes a communication module 53, which supports communication with the mobile terminal through Bluetooth or Wi-Fi. The user can remotely configure the verification mode, update the biometric template or query the unlocking record through the mobile phone APP. The Bluetooth or Wi-Fi communication adopts the AES-256 encryption protocol, and the communication module 53 is integrated on the circuit board of the control unit 5.

[0233] It is understandable that the communication module 53 is integrated on the circuit board of the control unit 5, serving as a bridge for data interaction between the palm lock and the mobile terminal. Its core components include a Bluetooth chip (such as Nordic nRF52832) and a Wi-Fi module (such as ESP8266), both of which support the AES-256 encryption protocol to ensure the security of data transmission.

[0234] Bluetooth connection:

[0235] Palm Lock End: When the system starts up, the microprocessor 51 of the control unit 5 initializes the Bluetooth chip and sets it to the discoverable state. At this time, the Bluetooth chip broadcasts device information, including the device name (such as "Smart Palm Lock") and the service UUID.

[0236] Mobile Terminal End: The user opens the mobile phone APP and searches for nearby Bluetooth devices in the APP. When the Bluetooth signal of the palm lock is detected, the user clicks to connect. The APP sends a connection request to the palm lock, and this request contains device authentication information.

[0237] Connection Establishment: After receiving the connection request, the palm lock decrypts and verifies the authentication information through the AES-256 encryption algorithm. If the verification passes, the two parties exchange session keys and establish a secure Bluetooth connection.

[0238] Wi-Fi Connection:

[0239] Palm Lock End: The microprocessor 51 initializes the Wi-Fi module to enter the network configuration mode. At this time, the user can scan the QR code of the palm lock or enter the device number through the mobile phone APP to obtain the temporary Wi-Fi hotspot information of the device.

[0240] Mobile Terminal End: The user connects the mobile phone to the temporary Wi-Fi hotspot of the palm lock, and then enters the SSID and password of the home Wi-Fi in the APP. The APP encrypts this information and sends it to the palm lock.

[0241] Connection Establishment: After receiving the information, the palm lock decrypts and attempts to connect to the specified home Wi-Fi network. If the connection is successful, the two parties establish a secure Wi-Fi communication channel through the AES-256 encryption protocol.

[0242] Remote Configuration Verification Mode Process:

[0243] 1. Mobile Terminal Operations

[0244] The user opens the mobile phone APP and enters the verification mode configuration interface. In this interface, the user can select different verification modes, such as single feature verification (palmprint, palm vein or iris), two-factor fusion verification (palmprint + palm vein, palmprint + iris, palm vein + iris) or three-factor fusion verification. The user can also set the weight ratio and matching threshold of each feature.

[0245] 2. Data Transmission and Processing

[0246] Data Sending: After the user completes the configuration, the APP encrypts and sends the configuration information to the communication module 53 of the palm lock through the Bluetooth or Wi-Fi channel.

[0247] Data reception and processing: After the communication module 53 receives data, it decrypts the data and transmits it to the microprocessor 51. The microprocessor 51 stores the new configuration information in the storage module 52 and updates the current verification mode.

[0248] It should be noted that the control method of this application can be automatically controlled by a controller. The control method of the controller can be realized by simple programming of those skilled in the art, which belongs to the common general knowledge in this field. And this application is mainly used to protect the mechanical structure, so the control method and circuit connection will not be explained in detail in this application.

[0249] Specific usage process (taking the unlocking of a single daily palmprint feature as an example):

[0250] 1. User approach and interaction trigger

[0251] When the user's palm carrying the authorized biometric feature approaches the lock body 1 and the distance ≤ 15 cm, the human infrared sensor (not labeled, integrated inside the lock body) at the edge of the palm fitting area 11 detects the human signal and wakes up the sleep state of the power module 8.

[0252] The human-machine interaction interface 7 is activated:

[0253] The LED status indicator 71 displays a blue breathing light, flashing around the upper left corner of the palm fitting area 11, indicating that the device is ready;

[0254] The voice module 72 automatically plays a guiding sound: "Please place your palm", and the sound is emitted from the front speaker of the lock body 1, triggering synchronously with the verification process of the control unit 5.

[0255] 2. Palmprint feature collection

[0256] The user naturally places the palm on the palm fitting area 11 on the front of the lock body 1. The arc-shaped groove (curvature radius 90 mm) guides the palm to quickly locate, and the center of the palm is facing the optical imaging unit 21 (500 dpi CMOS camera) of the palmprint collection module 2.

[0257] The optical imaging unit 21 starts automatic focusing. At the same time, the infrared fill light 22 (4 850 nm LEDs surrounding the camera) automatically fills light according to the ambient light intensity (turns on when the illuminance < 30 lux), ensuring clear imaging of the palm surface pattern and generating an RGB image of 500 × 500 pixels.

[0258] The image data is transmitted to the microprocessor 51 of the control unit 5 through the FPC cable, with a transmission rate of 480 Mbps and a time consumption ≤ 0.2 seconds.

[0259] 3. Verification logic of the control unit

[0260] Feature extraction: The microprocessor 51 runs the Gabor filter algorithm to extract the texture direction field and frequency features from the palmprint image, generating a 128-dimensional feature vector.

[0261] Template matching: The microprocessor 51 retrieves the pre-stored palmprint template of the user from the biometric area of the storage module 52, calculates the Hamming distance to obtain a matching score S = 88 points (≥ 80-point threshold, FAR ≤ 0.001%).

[0262] Decision output: Since the palmprint score meets the standard in the single-feature verification mode, the microprocessor 51 sends a high-level unlocking signal (3.7V, lasting for 1.5 seconds) to the mechanical execution unit 6.

[0263] 4. Mechanical execution and unlocking

[0264] After receiving the unlocking signal, the DC motor 62 starts. The motor with a rated speed of 1000 rpm is decelerated to 100 rpm through a three-stage gear set 63 (reduction ratio 10:1), and the output torque is increased to 1 N·m.

[0265] The transmission rack 64 meshes with the last-stage gear of the gear set 63, converting the rotational motion into a linear motion, pushing the lock tongue 61 to retract 15 mm to the right until it completely disengages from the doorframe lock catch, achieving unlocking.

[0266] The return spring 65 is compressed during this process, storing elastic potential energy.

[0267] 5. Result feedback and power consumption management

[0268] The human-machine interaction interface 7 updates the status:

[0269] The LED indicator 71 turns green and remains on constantly, indicating that the verification is passed;

[0270] The voice module 72 plays "Unlocking successful, welcome home", and the prompt sound is synchronized with the retraction action of the lock tongue 61.

[0271] The power supply module 8 enters the low-power mode: Except for the control unit 5 and the human-machine interaction interface 7 maintaining basic operations, components such as the palmprint acquisition module 2 and the infrared fill light 22 are powered off, and the overall power consumption is reduced to below 10 μA.

[0272] 6. Fault tolerance for abnormal situations (if the verification fails)

[0273] If the palmprint matching score < 80 points, the control unit 5 determines that the verification fails and sends a low-level signal to the mechanical execution unit 6. The return spring 65 maintains the extended state of the lock tongue 61, and at the same time:

[0274] The LED indicator 71 flashes red (1 Hz);

[0275] The voice module 72 prompts "Recognition error, please try again" to guide the user to re-place the palm.

[0276] In summary, a highly convenient and secure palm lock according to an embodiment of the present application supports single-feature quick unlocking (convenience) and multi-feature combined verification (high security). Users can dynamically configure the verification mode through the mobile phone APP to adapt to different scenario requirements (such as palm prints for daily home use, palm prints + irises for office use). The three biometric features are independently collected, with high forgery difficulty and high combined verification security. Moreover, the arc design of the palm fitting area is aligned with the camera, and the recognition time is ≤2 seconds.

Claims

1. A highly convenient and safe palm lock, characterized in that: The invention comprises a lock body (1), a palm print collection module (2), a palm vein collection module (3), an iris recognition module (4), a control unit (5) and a mechanical execution unit (6), wherein: The palm print collection module (2) is used to obtain palm surface pattern features, and comprises an optical imaging unit (21) and an infrared fill light (22); The palm vein acquisition module (3) is used to acquire the distribution characteristics of the veins inside the palm, and comprises a near-infrared light source (31) and an infrared sensor (32); The iris recognition module (4) is used to obtain the texture features of the human iris, and comprises an auto-focus camera (41) and an iris positioning component; The control unit (5) pre-stores the palm print, palm vein and iris feature templates of the authorized user, and supports the following three independent or combined verification modes: Single feature verification mode: unlocking can be done by verifying only one feature: palm print, palm vein or iris; Multi-feature combination verification mode: unlocked through the fusion verification of two or three features; Hybrid verification mode: allows users to customize feature combination priorities and trigger conditions through external terminals (such as mobile phone APP). The three verification modes dynamically activate the corresponding biometric feature collection modules according to the user's preset security level, achieving an adaptive balance between operational efficiency and security strength; The control unit (5) is electrically connected to the palm print acquisition module (2), the palm vein acquisition module (3), and the iris recognition module (4) respectively, activates the corresponding module according to the verification mode, and executes the matching algorithm; The lock body (1) is provided with a lock tongue (61), which can be extended or retracted to achieve the locked and unlocked state of the lock; The mechanical execution unit (6) is electrically connected to the control unit (5); the control unit (5) sends a corresponding instruction to the mechanical execution unit (6) according to the verification result; and the mechanical execution unit (6) drives the lock tongue (61) to extend or retract based on the instruction to achieve unlocking / locking.

2. A highly convenient and safe palm lock according to claim 1, characterized in that: The palm print acquisition module (2) and the palm vein acquisition module (3) are integrated in a palm fitting area (11) on the front of the lock body (1), and the auto-focus camera (41) of the iris recognition module (4) is arranged 2-5 cm above the palm fitting area (11), with the optical axis of the lens aligned with the sight direction of the user when standing naturally.

3. A highly convenient and safe palm lock according to claim 1, characterized in that: The single feature verification mode of the control unit (5) satisfies: Palmprint verification: Extract the palmprint features through Gabor filter, and pass the test if the matching score is ≥80 points. The matching score threshold is determined based on the experimental data of FAR (false acceptance rate) ≤0.001%; Palm vein verification: The vascular network is extracted by skeletonization of near-infrared images. The match score is ≥85 points, which is considered passed. The match score threshold is determined based on experimental data of FAR (false acceptance rate) ≤0.0005%; Iris verification: Encode the iris texture through the Daugman operator, and pass the match if the score is ≥90 points. The match score threshold is determined based on experimental data of FAR (false acceptance rate) ≤0.0001%; When any single item score reaches the standard, the control unit (5) sends an unlocking signal to the mechanical execution unit (6).

4. A highly convenient and safe palm lock according to claim 1, characterized in that: The multi-feature combination verification mode includes: Two fusion verifications: palm print + palm vein (weighted score ≥ 85 points, weight ratio range 0.3-0.7:0.7-0.3), palm print + iris (weighted score ≥ 90 points, weight ratio range 0.3-0.7:0.7-0.3) or palm vein + iris (weighted score ≥ 88 points, weight ratio range 0.3-0.7:0.7-0.3); Three-item fusion verification: through the decision tree voting mechanism, if any two items pass, it is considered passed; Users can customize combination rules, matching thresholds, and weight ratio ranges through external terminals.

5. A highly convenient and safe palm lock according to claim 1, characterized in that: The optical imaging unit (21) is a CMOS camera with a resolution of ≥500 dpi, the infrared fill light (22) is arranged around the optical imaging unit (21), the near-infrared light source (31) emits infrared light with a wavelength of 850-1000 nm, and the infrared sensor (32) and the near-infrared light source (31) are arranged opposite to each other to penetrate the palm and collect vein images.

6. A highly convenient and safe palm lock according to claim 1, characterized in that: The control unit (5) has a built-in microprocessor (51) and a storage module (52); the microprocessor (51) executes a feature extraction algorithm and a matching algorithm; the storage module (52) stores an authorized user's biometric template, verification mode configuration information, and security level strategy; the microprocessor (51) is electrically connected to a palm print acquisition module (2), a palm vein acquisition module (3), an iris recognition module (4), and a mechanical execution unit (6) via a cable.

7. A highly convenient and safe palm lock according to claim 1, characterized in that: It also includes a human-machine interaction interface (7) and a power supply module (8), wherein: The power module (8) is a built-in 4000mAh rechargeable lithium battery, which is arranged on the back of the lock body (1), is electrically connected to each module through a circuit board, and supports USB-C emergency charging; The human-machine interaction interface (7) comprises an LED status indicator light (71) and a voice module (72); the LED status indicator light (71) is arranged at the edge of the palm contact area (11) and displays the verification result in different colors (green for pass, red for fail); the voice module (72) automatically plays a voice prompt (such as "Please place your palm" or "Please look at the camera") when a palm approaches, and is triggered synchronously with the verification process of the control unit (5).

8. A highly convenient and safe palm lock according to claim 1, characterized in that: The mechanical execution unit (6) comprises a DC motor (62), a gear set (63), a transmission rack (64) and a return spring (65), wherein: The DC motor (62) drives the gear set (63) to rotate after receiving the unlocking signal from the control unit (5); The transmission rack (64) meshes with the gear set (63) to convert the rotational motion into linear motion to push the lock tongue (61) to retract; The return spring (65) keeps the lock tongue (61) in an extended state when power is off to ensure safety.

9. A highly convenient and safe palm lock according to claim 2, characterized in that: The lock body (1) is made of aluminum alloy, and the surface is covered with a non-slip silicone layer (12). The palm fitting area (11) is designed as an arc-shaped groove to fit the natural curvature of the palm. An anti-glare protective lens (42) is arranged outside the iris recognition module (4).

10. A highly convenient and safe palm lock according to claim 1, characterized in that: The control unit (5) further comprises a communication module (53) which supports communication with a mobile terminal via Bluetooth or Wi-Fi, and a user can remotely configure a verification mode, update a biometric template or query unlocking records via a mobile phone APP. The Bluetooth or Wi-Fi communication adopts an AES-256 encryption protocol. The communication module (53) is integrated on a circuit board of the control unit (5).

Images