Face recognition and palm vein recognition system

Abstract

The utility model relates to the technical field of palm vein recognition, solves the technical problem that the accuracy of face recognition and palm vein recognition cannot be improved under dark conditions in the prior art, and particularly relates to a face recognition and palm vein recognition system, which comprises a micro-processing module, the palm vein recognition system further comprises a first image module, a second image module, a voice module, an audio amplification module and a voltage stabilization module, and the first image module comprises an external power source, an image analysis chip, current limiting resistors R1, R2 and R3 and a light sensation triode Q1. According to the technical scheme, the luminous intensity of the LED can be changed according to the light intensity in the environment, and then the face and palm vein areas are illuminated, so that the accuracy of face recognition and palm vein recognition can be greatly improved, the use experience of a user is improved, and meanwhile, the safety of the face recognition and palm vein recognition system can also be improved.

Description

Technical Field

[0001] This utility model relates to the field of palm vein recognition technology, and in particular to a face recognition and palm vein recognition system. Background Technology

[0002] Palm vein recognition is a biometric technology that identifies individuals by collecting the distribution characteristics of veins in the palm. Its core advantages lie in high security, non-contact data collection, and liveness detection capabilities, making it suitable for high-security scenarios such as financial payments and access control systems. Existing access control systems combine palm vein recognition with facial recognition, using a camera to capture and recognize faces, and near-infrared light to capture and recognize palm vein images. Current technologies require a bright environment for facial image capture, and similarly, near-infrared light capture of palm veins requires certain lighting conditions. However, in dimly lit indoor environments, the accuracy of both facial and palm vein recognition decreases. Current technologies lack the ability to improve accuracy in low-light conditions, making it inconvenient for users and compromising the security of both systems. Utility Model Content

[0003] To address the shortcomings of existing technologies, this invention provides a face recognition and palm vein recognition system, which solves the technical problem that existing technologies cannot improve the accuracy of face recognition and palm vein recognition under dim conditions. It achieves the goal of improving the accuracy of face recognition and palm vein recognition by changing the light intensity according to changes in ambient light.

[0004] To solve the above-mentioned technical problems, this utility model provides the following technical solution: a face recognition and palm vein recognition system, including a microprocessor module, wherein the palm vein recognition system further includes a first image module, a second image module, a voice module, an audio amplification module and a voltage regulator module.

[0005] Furthermore, the first image module includes an external power supply, an image analysis chip, current-limiting resistors R1, R2 and R3, a phototransistor Q1, a photoresistor R4 and a light-emitting diode D1. The external power supply is connected to the collector of the phototransistor Q1 in sequence through the light-emitting diode D1 and the current-limiting resistor R1. The base of the phototransistor Q1 is connected to the current-limiting resistor R3. The current-limiting resistor R2 is connected in parallel across the light-emitting diode D1 and the current-limiting resistor R3. The photoresistor R4 is connected in parallel across the emitter of the phototransistor Q1 and the current-limiting resistor R3. The external power supply is connected to the AVDD interface of the image analysis chip.

[0006] Furthermore, the second image module includes an image acquisition chip, filter capacitors C29 and C30. The VREFN interface of the image acquisition chip is grounded through the filter capacitor C29, the filter capacitor C30 is connected in parallel across the filter capacitor C29, and the D0 / MDP interface of the image acquisition chip is connected to the microprocessor module.

[0007] Furthermore, the voice module includes an audio chip, filter capacitors C64 and C59. Interface 1 of the audio chip is connected to the audio amplification module through filter capacitor C59, and interface 2 of the audio chip is connected to the audio amplification module through filter capacitor C64.

[0008] Furthermore, the audio amplification module includes an audio amplification chip, the Vo1(-) interface of the audio amplification chip is connected to the audio chip's interface 1, the Vo1(+) interface of the audio amplification chip is connected to the audio chip's interface 2, and the stdown interface of the audio amplification chip is connected to the microprocessor module.

[0009] Furthermore, the voltage regulator module includes a voltage regulator chip and a 3.3V power supply. The 3.3V power supply is connected to the VIN interface of the voltage regulator chip, and the Vout interface of the voltage regulator chip outputs a regulated voltage of 2.8V.

[0010] Furthermore, the image analysis chip is model SP2507-A25A, the image acquisition chip is model SC030IoT, the audio chip is model SMD_2_1.25_Z1, the audio amplifier chip is model LN4890MMD, the voltage regulator chip is model ME6206B28XG, and the microprocessor module is model V851S.

[0011] By employing the above technical solution, this utility model provides a face recognition and palm vein recognition system, which has at least the following beneficial effects:

[0012] 1. This utility model, through the combined action of the first image module and the microprocessor module, can change the light intensity of the LED according to the intensity of the ambient light, thereby illuminating the face and palm vein areas, which can greatly improve the accuracy of face recognition and palm vein recognition, improve the user experience, and enhance the security of the face recognition and palm vein recognition system.

[0013] 2. This utility model enables the system to interact with the human-computer system through voice by using a voice module and an audio amplification module, and improves the accuracy of voice recognition, making the face recognition and palm vein recognition system more convenient to use, and improving the system's ease of operation and user experience. Attached Figure Description

[0014] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0015] Figure 1 This is a structural block diagram of a face recognition and palm vein recognition system according to the present invention;

[0016] Figure 2 This is a circuit diagram of the first image module of this utility model;

[0017] Figure 3 This is a circuit diagram of the second image module of this utility model;

[0018] Figure 4 This is a circuit diagram showing the series connection of the voice module and the audio amplification module of this utility model.

[0019] Figure 5 This is the circuit diagram of the voltage regulator module of this utility model;

[0020] Figure 6 This is the circuit diagram of the voice module of this utility model.

[0021] In the diagram: 1. Microprocessor module; 2. First image module; 3. Second image module; 4. Voice module; 5. Audio amplification module; 6. Voltage regulator module. Detailed Implementation

[0022] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0023] Due to the technical limitations of existing technologies in improving the accuracy of face recognition and palm vein recognition under low-light conditions, this embodiment proposes a face recognition and palm vein recognition system that can adjust the light intensity according to changes in ambient light, thereby improving the accuracy of face recognition and palm vein recognition. Please refer to [link / reference]. Figures 1-6The system includes a microprocessor module 1. The palm vein recognition system also includes a first image module 2, a second image module 3, a voice module 4, an audio amplification module 5, and a voltage regulator module 6. The first image module 2 includes an external power supply, an image analysis chip, current-limiting resistors R1, R2, and R3, a phototransistor Q1, a photoresistor R4, and a light-emitting diode D1. The external power supply is connected to the collector of the phototransistor Q1 through the light-emitting diode D1 and the current-limiting resistor R1. The base of the phototransistor Q1 is connected to the current-limiting resistor R3. The current-limiting resistor R2 is connected in parallel across the light-emitting diode D1 and the current-limiting resistor R3. The photoresistor R4 is connected in parallel across the emitter of the phototransistor Q1 and the current-limiting resistor R3. The external power supply is connected to... The second image module 3 includes an image acquisition chip, filter capacitors C29 and C30, and the VREFN interface of the image acquisition chip is grounded through the filter capacitor C29. The filter capacitor C30 is connected in parallel across the filter capacitor C29. The D0 / MDP interface of the image acquisition chip is connected to the microprocessor module 1. The image analysis chip is model SP2507-A25A, the image acquisition chip is model SC030IoT, the audio chip is model SMD_2_1.25_Z1, the audio amplifier chip is model LN4890MMD, the voltage regulator chip is model ME6206B28XG, and the microprocessor module 1 is model V851S.

[0024] This invention uses a first image module 2 and a second image module 3 to acquire facial and palm vein images respectively. In dim lighting conditions, a photoresistor R4 senses the light intensity, controlling the current in the circuit and further controlling the light intensity of the LED D1. This allows the LED to emit light of different intensities under varying lighting conditions, ensuring clear images for both facial and palm vein recognition, thus improving their accuracy. A microprocessor module 1 performs image recognition on the facial and palm vein images. If the image is identified as belonging to the user, the microprocessor module 1 controls a motor to unlock the door. Through the combined action of the first image module and the microprocessor module, the LED's light intensity is adjusted according to the ambient light level, illuminating the facial and palm vein areas. This significantly improves the accuracy of facial and palm vein recognition, enhances the user experience, and improves the security of the system.

[0025] The voice module 4 includes an audio chip, filter capacitors C64 and C59. The audio chip's interface 1 is connected to the audio amplifier module 5 via filter capacitor C59, and the audio chip's interface 2 is connected to the audio amplifier module 5 via filter capacitor C64. The audio amplifier module 5 includes an audio amplifier chip. The audio amplifier chip's Vo1(-) interface is connected to the audio chip's interface 1, and the audio amplifier chip's Vo1(+) interface is connected to the audio chip's interface 2. The audio amplifier chip's Stdown interface is connected to the microprocessor module 1. The voltage regulator module 6 includes a voltage regulator chip and a 3.3V power supply. The 3.3V power supply is connected to the voltage regulator chip's VIN interface, and the voltage regulator chip's Vout interface outputs a regulated voltage of 2.8V.

[0026] This invention collects sound commands through a voice module 4 and amplifies the sound signal through an audio amplification module 5. The voice module 4 can be directly connected to the microprocessor module 1, or it can be first connected to the audio amplification module 5 and then connected to the microprocessor module 1 through the audio amplification module 5. Figure 6 The diagram shows the circuit diagram of the voice module 4 directly connected to the microprocessor module 1. The voltage regulator module 6 can provide a regulated power supply to the microprocessor module 1. Through the voice module and the audio amplifier module, the system can perform human-computer interaction through voice and improve the accuracy of voice recognition, making the face recognition and palm vein recognition system more convenient to use, and improving the system's ease of operation and user experience.

[0027] The control method of this utility model is automatic control through a controller. The control circuit of the controller can be implemented by simple programming by those skilled in the art. The power supply is also common knowledge in the field. Since this utility model is mainly used to protect mechanical devices, the control method and circuit connection will not be explained in detail.

[0028] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0029] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A face recognition and palm vein recognition system comprising a micro processing module (1), characterized in that, The palm vein recognition system also includes a first image module (2), a second image module (3), a voice module (4), an audio amplification module (5), and a voltage stabilization module (6). The first image module (2) includes an external power supply, an image analysis chip, current-limiting resistors R1, R2 and R3, a phototransistor Q1, a photoresistor R4 and a light-emitting diode D1. The external power supply is connected to the collector of the phototransistor Q1 through the light-emitting diode D1 and the current-limiting resistor R1 in sequence. The base of the phototransistor Q1 is connected to the current-limiting resistor R3. The current-limiting resistor R2 is connected in parallel on both sides of the light-emitting diode D1 and the current-limiting resistor R3. The photoresistor R4 is connected in parallel on both sides of the emitter of the phototransistor Q1 and the current-limiting resistor R3. The external power supply is connected to the AVDD interface of the image analysis chip.

2. The palm vein recognition system according to claim 1, characterized by, The second image module (3) includes an image acquisition chip, filter capacitors C29 and C30. The VREFN interface of the image acquisition chip is grounded through the filter capacitor C29. The filter capacitor C30 is connected in parallel on both sides of the filter capacitor C29. The D0 / MDP interface of the image acquisition chip is connected to the microprocessor module (1).

3. The palm vein recognition system according to claim 2, characterized by, The voice module (4) includes an audio chip, filter capacitors C64 and C59. The first interface of the audio chip is connected to the audio amplifier module (5) through the filter capacitor C59, and the second interface of the audio chip is connected to the audio amplifier module (5) through the filter capacitor C64.

4. The palm vein recognition system according to claim 3, characterized by, The audio amplification module (5) includes an audio amplification chip. The Vo1(-) interface of the audio amplification chip is connected to the No. 1 interface of the audio chip, the Vo1(+) interface of the audio amplification chip is connected to the No. 2 interface of the audio chip, and the Stdown interface of the audio amplification chip is connected to the microprocessor module (1).

5. The palm vein recognition system according to claim 4, characterized by, The voltage regulator module (6) includes a voltage regulator chip and a 3.3V power supply. The 3.3V power supply is connected to the VIN interface of the voltage regulator chip, and the Vout interface of the voltage regulator chip outputs a regulated voltage of 2.8V.

6. The palm vein recognition system according to claim 5, characterized by, The image analysis chip is model SP2507-A25A, the image acquisition chip is model SC030IoT, the audio chip is model SMD_2_1.25_Z1, the audio amplifier chip is model LN4890MMD, the voltage regulator chip is model ME6206B28XG, and the microprocessor module (1) is model V851S.

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