Biological recognition safety connector

Abstract

The invention belongs to the technical field of safety connectors, and mainly relates to a biological recognition safety connector which comprises a connector body and a microprocessor electrically connected with the connector body, and the microprocessor is electrically connected with a biological recognition device and a power supply circuit. The connector main body is used for being matched with a connecting plug of other equipment; the biological recognition device is used for collecting biological characteristic information of a user and transmitting data of the biological characteristic information to the microprocessor; the microprocessor compares the data transmitted by the biological recognition device with authorized sample data pre-stored in the microprocessor; when the data is matched with authorized sample data pre-stored in the microprocessor, the connecting plug is allowed to be electrically connected with the connector main body; the technical defect that identity verification cannot be realized in the prior art is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of safety connectors, and in particular relates to a biometric safety connector. Background Art

[0002] With the rapid development of information technology, security has become a crucial factor in all types of electronic equipment. In particular, in industries like military and aerospace, the demand for secure control of device interfaces is growing. While traditional connectors offer some protection, they are vulnerable to physical damage or unauthorized access through key duplication, failing to meet modern demands for high precision, reliability, and confidentiality.

[0003] To improve connector security, the industry has generally adopted two measures. One is to encrypt communication protocols, preventing eavesdropping by encrypting transmitted data streams. The other is to add physical anti-counterfeiting markings, such as unique logos or digital watermarks, to connectors, making them difficult for unauthorized individuals to forge. However, neither approach fundamentally addresses the issue of identity verification: how to verify that only authorized operators are legitimate.

[0004] Based on this, there is an urgent need to improve the existing safety connector to solve the technical defects in the existing technology. Summary of the Invention

[0005] The purpose of the present invention is to provide a secure connector capable of biometric identification in order to address the shortcomings of the prior art and to solve the technical defect that the prior art cannot realize identity authentication.

[0006] In order to achieve the above-mentioned invention objectives, this application implements the following technical solutions: A biometric security connector includes a connector body and a microprocessor electrically connected to the connector body, the microprocessor being electrically connected to a biometric device and a power supply circuit; The connector body is used to mate with the connecting plug of other equipment; The biometric identification device is used to collect the user's biometric information and transmit the data of the biometric information to the microprocessor; The microprocessor compares the data transmitted by the biometric identification device with the authorization sample data pre-stored in the microprocessor; When the data matches the authorized sample data pre-stored in the microprocessor, the connecting plug is allowed to be electrically connected to the connector body.

[0007] As a further improvement to a biometric security connector of the present application, the connector body is provided with a connection port, which is used to connect to a connection plug. The connection port is provided with an electromagnetic lock mechanism. When the data matches the authorization sample data pre-stored in the microprocessor, the electromagnetic lock mechanism allows the connection port to be connected to the connection plug.

[0008] The above technical solution produces the following technical effects: This application embeds biometric identification into the connector structure, enabling the connector to collect and determine the operator's biometric identity in real time. This not only uniquely confirms the operator's identity but also prevents unauthorized access. The microprocessor pre-stores a biometric template of the authorized individual within the connector. When the real-time data collected by the identification device matches the template, the microprocessor controls the unlocking of the connector, allowing the connector to electrically connect to the connector port. If the match does not occur, the connector remains locked and any unauthorized attempts are recorded.

[0009] Therefore, the technical solution of the present application solves the technical defect that although the existing technical means can ensure the security of data transmission and the anti-counterfeiting of the physical structure to a certain extent, due to the lack of an effective personal authentication mechanism, the security level of the entire system is low and there are still major security risks.

[0010] As a further improvement to the biometric security connector of the present application, the biometric device is located on the surface of the connector body.

[0011] As a further improvement to the biometric security connector of the present application, the biometric device is any one of an optical fingerprint sensor, an iris camera and a voice recognition module.

[0012] As a further improvement to the biometric security connector of the present application, when the biometric device is an optical fingerprint sensor, the microprocessor uses a similarity calculation formula to compare the data transmitted by the biometric device with the authorized sample data pre-stored in the microprocessor.

[0013] As a further improvement to the biometric security connector of the present application, the similarity calculation formula is expressed as follows: Among them, the collected biometrics are V in ;Store template as Each V i Is a template for an authorized user; The kth eigenvalue of the input data; is the kth eigenvalue of the pre-stored template sample; δ is the matching function, satisfying δ(a, b) = 1; M is the total number of feature points.

[0014] As a further improvement to the biometric security connector of the present application, when the biometric device is an optical iris camera, the microprocessor uses the Hamming distance comparison method to compare the data transmitted by the biometric device with the authorization sample data pre-stored in the microprocessor. The formula of the Hamming distance comparison method is: Among them, the collected biometrics are V in ;Store template as Each V i Is a template for an authorized user; HD (V in , V i ) is the collected biometric feature V in Calculate the Hamming distance with the authorized user's template; L is the iris code length.

[0015] As a further improvement to the biometric security connector of the present application, when the biometric device is a voice recognition module, the microprocessor will perform MFCC extraction on the data transmitted by the biometric device and the authorized sample data pre-stored in the microprocessor and compare them through cosine similarity calculation.

[0016] As a further improvement to the biometric security connector of the present application, the data transmitted by the biometric identification device after MFCC extraction is compared with the authorized sample data pre-stored in the microprocessor through cosine similarity calculation as follows: Among them, the collected biometrics are V in ;Store template as Each V i is a template for an authorized user; S voice (V in , V i ) is the similarity between the collected biometrics and the template of the authorized user, MFCC (V in ) is the feature vector after MFCC extraction of the collected biometric features, MFCC (V i ) is the feature vector after MFCC extraction of the authorized user's template.

[0017] As a further improvement to the biometric security connector of this application, S voice (V in , V i )Satisfy: S voice ∈[0, 1]. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 This is a schematic structural diagram of Example 1 of the present invention; Figure 2 This is a workflow diagram of Example 2 of the present invention; in: 1. Connector body; 1. Connection port; 111-electromagnetic lock mechanism; 2. Microprocessor; 3. Biometric identification device; 1. Optical fingerprint sensor; 2. Iris camera; 3. Speech recognition module; 4. Connect the plug. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the technical field of the present application. The terms used herein in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application.

[0020] In the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they may refer to fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0021] Although the present application is disclosed as above with preferred embodiments, it is not intended to limit the claims. Any person skilled in the art may make several possible changes and modifications without departing from the concept of the present application. Therefore, the scope of protection of the present application shall be based on the scope defined by the claims of the present application.

[0022] It is known that, in current connector application scenarios with high safety requirements, traditional connectors are usually only equipped with basic mechanical locking devices to prevent improper insertion and removal operations or physical damage. Some products have added the following safety enhancement technologies on this basis: The first is the encrypted communication protocol: by embedding keys and encryption chips in the connector, the transmitted data is made resistant to eavesdropping; the second is the physical anti-counterfeiting mark: such as digital watermarks, unique patterns or material anti-counterfeiting layers, to distinguish between genuine products and illegal imitations.

[0023] Although the above technologies have improved the communication security and traceability of connectors, they still face some key challenges in actual deployment.

[0024] Although existing industry solutions have been widely used in data transmission encryption and anti-counterfeiting label identification, these methods have the following common drawbacks: There is no mechanism to confirm the "operating subject". In other words, even if the connector itself has anti-counterfeiting identification and encryption functions, it is still impossible to determine whether the current operator is an "authorized person"; The mechanical structure is easily damaged. Traditional locks can be easily dismantled by force or cracked by forged mechanical keys; Lack of a closed-loop authentication logic loop. This means that once the connector is handed over to an unauthorized person, the system cannot prevent illegal operation even if the physical connection is possible. It cannot automatically realize permission linkage and cannot be effectively synchronized with the identity database or operation permission system, posing a high security risk.

[0025] In summary, there is still a key technical gap in the identity confirmation mechanism between "people and devices" in the current connector field. Especially in high-security device interfaces, traditional solutions can no longer meet the growing security needs. Based on this, this application has the motivation to solve the above technical solutions. The present invention will be further described in detail below with reference to specific embodiments, but the embodiments of the present invention are not limited thereto.

[0026] Example 1 like Figure 1 As shown, in order to solve the technical defects in the prior art, the present application improves the existing security connector. Specifically, the biometric security connector of the present application includes a connector body 1 and a microprocessor 2 electrically connected to the connector body 1, and the microprocessor 2 is electrically connected to the biometric device 3 and the power supply circuit; The connector body 1 is used to cooperate with the connecting plug 4 of other devices; the biometric identification device 3 is used to collect the user's biometric information and transmit the data of the biometric information to the microprocessor 2; The microprocessor 2 compares the data transmitted by the biometric identification device 3 with the authorization sample data pre-stored in the microprocessor 2; When the data matches the authorized sample data pre-stored in the microprocessor 2 , the connecting plug 4 is allowed to be electrically connected to the connector body 1 .

[0027] As a further improvement to the biometric security connector of the present application, the connector body 1 is provided with a connection port 1111, which is used to connect to the connection plug 4. The connection port 1111 is provided with an electromagnetic lock mechanism 111. When the data matches the authorization sample data pre-stored in the microprocessor 2, the electromagnetic lock mechanism 111 allows the connection port 1111 to be connected to the connection plug 4.

[0028] Specifically, this application introduces a mechanism for linking biometrics with the connection interface for the first time. This application embeds biometrics such as fingerprint recognition and iris scanning into the connector structure, enabling the connector to collect and determine the operator's biometric identity in real time. This not only uniquely confirms the operator's identity but also prevents unauthorized access.

[0029] In addition, the present application implements a closed-loop comparison and control logic through the microprocessor 2. The microprocessor 2 pre-stores a biometric template of the authorized person inside the connector. When the real-time data collected by the recognition device matches the template, the microprocessor 2 controls the electromagnetic lock mechanism 111 to release the lock state, thereby allowing the connection plug 4 to be electrically connected to the connection port 1111. If there is a mismatch, the lock state remains and the illegal attempt can be recorded.

[0030] Furthermore, the present application incorporates an electromagnetic lock structure at the connector 1111. This structure, controlled by the microprocessor 2, unlocks only after identity verification, further enhancing the physical security of the interface. Compared to traditional mechanical structures, it is more resistant to prying and physical violence. Preferably, the biometric identification device 3 is located on the surface of the connector body 1, making it easier to identify and use.

[0031] Through the above-mentioned technical structure, this application has pioneered in the connector field to construct a complete closed-loop mechanism from "personal authentication → electronic unlocking → secure connection", effectively filling the technical gaps in existing technologies in personnel identity authentication, anti-physical cracking and intelligent control. It has significant innovation, security and practical value, and is particularly suitable for the deployment and application of high-security connection interfaces in scenarios such as military communications, aerospace, nuclear power management and control, and private network equipment.

[0032] Example 2 As shown in the figure, the difference from the first embodiment is that, in order to further improve the accuracy of the biometric identification of the present application, the biometric identification device 3 is any one of an optical fingerprint sensor 31 , an iris camera 32 and a voice recognition module 33 .

[0033] When the biometric identification device 3 is an optical fingerprint sensor 31 , the microprocessor 2 compares the data transmitted by the biometric identification device 3 with the authorization sample data pre-stored in the microprocessor 2 using a similarity calculation formula.

[0034] Furthermore, the similarity calculation formula is expressed as follows: Among them, the collected biometrics are V in ;Store template as Each V i Is a template for an authorized user; The kth eigenvalue of the input data; is the kth eigenvalue of the pre-stored template sample; δ is the matching function, satisfying δ(a, b) = 1; M is the total number of feature points.

[0035] In a specific real-time process, for example, the optical fingerprint sensor 31 extracts 64 feature points from the fingerprint image, and then: Therefore, we will use the following matching formula at this time: Among them, S is the matching score and similarity.

[0036] Furthermore, when the biometric identification device 3 is an optical iris camera 32, the microprocessor 2 compares the data transmitted by the biometric identification device 3 with the authorization sample data pre-stored in the microprocessor 2 using the Hamming distance comparison method. The formula of the Hamming distance comparison method is: Among them, the collected biometrics are V in ;Store template as Each V i Is a template for an authorized user; HD (V in , V i ) is the collected biometric feature V in Calculate the Hamming distance with the authorized user's template; L is the iris code length.

[0037] It is worth noting that the Hamming distance refers to the number of different bits at corresponding positions in two binary strings of equal length. In other words, it counts how many bits are different between the two vectors.

[0038] set up: but, in, is the exclusive OR operator; like Then the bit is 1 (different); otherwise it is 0 (same); Finally, sum up to get the total number of different digits.

[0039] Specifically, assume that the length of the extracted iris code is 2048 bits; If there are 82 bits that are different: HD(V in , V i )=82; At this point, the similarity can be calculated: Furthermore, when the biometric identification device 3 is a speech recognition module 33 , the microprocessor 2 performs MFCC extraction on the data transmitted by the biometric identification device 3 and the authorized sample data pre-stored in the microprocessor 2 and compares them through cosine similarity calculation.

[0040] Assuming a speech signal, assuming a speech signal x(t), the extraction process is as follows: 1) Pre-emphasis: emphasizes high-frequency components x′(t)=x(t)-αx(t-1), α≈0.97 2) Framing + windowing (Hamming window, etc.) 3) Fourier transform (FFT) → get the spectrum 4) Mel filter bank processing (non-linear compression frequency) 5) 6) Discrete cosine transform (DCT) → get cepstral coefficients Finally, the final output is a one-dimensional vector: MFCC=[c1,c2,...,c N ] It is worth noting that the first 12 to 20 dimensions are generally taken.

[0041] Furthermore, the data transmitted by the biometric identification device 3 after MFCC extraction is compared with the authorized sample data pre-stored in the microprocessor 2 through cosine similarity calculation, and the result is as follows: Among them, the collected biometrics are V in ;Store template as Each V i is a template for an authorized user; S voice (V in , V i ) is the similarity between the collected biometrics and the template of the authorized user, MFCC (V in) is the feature vector after MFCC extraction of the collected biometric features, MFCC (V i ) is the feature vector after MFCC extraction of the authorized user's template.

[0042] Furthermore, S voice (V in , V i )Satisfy: S voice ∈[0, 1]. Since only positive values usually appear in speech matching scenarios (because MFCC features are non-negative floating-point numbers), we have the following conclusions: S voice ∈[0, 1], the closer to 1, the more similar. Furthermore, in addition to single fingerprint / iris recognition, the system can be expanded to a voice or fingerprint multimodal fusion algorithm, greatly improving the accuracy and robustness of identity authentication, and is particularly suitable for fault-tolerant recognition in noisy environments, strong light environments or specific failure situations.

[0043] Furthermore, when a connection is required, the operator first places their finger on the optical fingerprint sensor 31 or gazes momentarily at the eye located above the iris camera. At this point, the corresponding biometric recognition device 3 initiates the data collection process, and the captured information is transmitted via internal circuitry to the microprocessor 2 for analysis. If a match is successful, the electromagnetic lock mechanism 111 is activated, allowing the connection. Otherwise, any attempt to connect is rejected, and the unauthorized attempt is recorded for subsequent review.

[0044] It is worth noting that the operation steps and precautions are as follows: S1: Turn on the power; S2: Gently place your hand on the fingerprint sensor area and wait for a few seconds until the indicator light turns on; S3: Confirm that the color change of the indicator light indicates whether the authorization is successful; S4: Press the unlock button to start the connection after obtaining authorization; S5: Please unplug the device immediately after connection is complete to avoid battery loss caused by long-term inactivity. It is important to keep the sensor clean and tidy to avoid affecting recognition accuracy.

[0045] 5) Replaceable parts: The optical fingerprint sensor 31 and the iris camera 32 can be selected from different brands and models according to different actual application environments.

[0046] Other details that are the same as those in Example 1 are not described in detail in this example.

[0047] Example 3 The difference from Example 1 is that: in order to further improve the stability of the power supply in the safety connector of the present application, the power supply circuit structure further includes a power input module, a filtering and voltage stabilization module and a microprocessor 2 power supply module.

[0048] The power input (Vd) is connected to the first capacitor on the right, which provides power to the system. This is usually connected to a lithium battery or USB power supply voltage (such as 3.7V, 5V, etc.).

[0049] The filtering and voltage stabilization module (LDO linear regulator) in this application, where LDO is a Low Dropout Regulator, is a low voltage difference linear regulator chip used to stabilize the higher input voltage to the 3.3V voltage required by the STM32.

[0050] Peripheral devices include: 1) L1 inductor is used to suppress high-frequency noise interference; 2) C1 and C2: Two 10μF capacitors, located at the input and output terminals of the LDO, respectively, for input decoupling and output stabilization filtering; the ground symbol ensures a uniform system potential.

[0051] The power supply connection (VDD pin) of microprocessor 2 is to connect the LDO output stable voltage to the VDD pin of STM32F407VG (the corresponding position in the upper right corner of the chip); among them, all power pins of STM32 should be powered in parallel (connected to the same node as shown in the figure) to ensure the normal operation of its core, I / O and analog modules.

[0052] Other details that are the same as those in Example 1 are not described in detail in this example.

[0053] Those skilled in the art will appreciate that embodiments of the present invention may provide methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0054] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0055] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0056] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0057] The above are merely preferred embodiments of the present application and are not intended to limit the present application. Persons skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A biometric security connector, characterized in that: It comprises a connector body (1) and a microprocessor (2) electrically connected to the connector body (1), wherein the microprocessor (2) is electrically connected to a biometric identification device (3) and a power supply circuit; The connector body (1) is used to cooperate with a connecting plug (4) of other equipment; The biometric identification device (3) is used to collect the user's biometric information and transmit the data of the biometric information to the microprocessor (2); The microprocessor (2) compares the data transmitted by the biometric identification device (3) with the authorization sample data pre-stored in the microprocessor (2); When the data matches the authorized sample data pre-stored in the microprocessor (2), the connecting plug (4) is allowed to be electrically connected to the connector body (1).

2. A biometric security connector according to claim 1, characterized in that: The connector body (1) is provided with a connection port (11), the connection port (11) being used for connecting with the connection plug (4), and the connection port (11) is provided with an electromagnetic lock mechanism (111), and when the data matches the authorization sample data pre-stored in the microprocessor (2), the electromagnetic lock mechanism (111) allows the connection port (11) to be connected with the connection plug (4).

3. The biometric security connector according to claim 1, characterized in that: The biometric identification device (3) is located on the surface of the connector body (1).

4. The biometric security connector according to claim 1, characterized in that: The biometric identification device (3) is any one of an optical fingerprint sensor (31), an iris camera (32) and a voice recognition module (33).

5. The biometric security connector according to claim 4, characterized in that: When the biometric identification device (3) is an optical fingerprint sensor (31), the microprocessor (2) compares the data transmitted by the biometric identification device (3) with the authorization sample data pre-stored in the microprocessor (2) using a similarity calculation formula.

6. The biometric security connector according to claim 5, characterized in that: The similarity calculation formula is expressed as: Among them, the collected biometrics are V in ;Store template as Each V i Is a template for an authorized user; The kth eigenvalue of the input data; is the kth eigenvalue of the pre-stored template sample; δ is the matching function, satisfying δ(a, b) = 1; M is the total number of feature points.

7. The biometric security connector according to claim 4, characterized in that: When the biometric identification device (3) is an optical iris camera (32), the microprocessor (2) compares the data transmitted by the biometric identification device (3) with the authorization sample data pre-stored in the microprocessor (2) using a Hamming distance comparison method, and the formula of the Hamming distance comparison method is: Among them, the collected biometrics are V in ;Store template as Each V i Is a template for an authorized user; HD (V in ,V i ) is the collected biometric feature V in Calculate the Hamming distance with the authorized user's template; L is the iris code length.

8. The biometric security connector according to claim 4, characterized in that: When the biometric identification device (3) is a speech recognition module (33), the microprocessor (2) performs MFCC extraction on the data transmitted by the biometric identification device (3) and the authorized sample data pre-stored in the microprocessor (2), and compares them through cosine similarity calculation.

9. The biometric security connector according to claim 8, characterized in that: The data transmitted by the biometric identification device (3) after MFCC extraction is compared with the authorized sample data pre-stored in the microprocessor (2) through cosine similarity calculation as follows: Among them, the collected biometrics are V in ;Store template as Each V i is a template for an authorized user; S voice (V in , V i ) is the similarity between the collected biometric features and the template of the authorized user, MFCC (V in ) is the feature vector after MFCC extraction of the collected biological features, MFCC (V i ) is the feature vector after MFCC extraction of the template of the authorized user.

10. The biometric security connector according to claim 9, characterized in that: S voice (V in , V i )Satisfy: S voice ∈[0, 1].

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