A palm vein intelligent cup cover system based on face recognition

Abstract

The utility model relates to intelligent cup cover system technical field, solved the face recognition success rate of prior art unstable, and occupy the technical problem of big space, especially in based on the palm vein intelligent cup cover system of face recognition, including power control module, the palm vein intelligent cup cover system still includes central processing module, night vision face recognition module and charging module, the night vision face recognition module includes night vision face recognition chip, access power supply, image sensing signal, filter capacitance C15, C16 and C21, the utility model discloses through central processing module and night vision face recognition module form small mcu plus face recognition integrated PCBA mode, not only can keep original face recognition function, make the user face recognition open cup cover, but also can greatly reduce the space occupation problem, improve the space utilization, can also improve the use experience of user.

Description

Technical Field

[0001] This utility model relates to the field of intelligent cup lid system technology, and in particular to a palm vein intelligent cup lid system based on facial recognition. Background Technology

[0002] With the popularization and development of facial recognition technology, smart living has permeated people's daily lives, not only in lifestyle but also in smart homes. The annual shipment volume of water cups alone remains stable at around 500 million units. However, with the application and development of biometric technology, the market share of smart water cups with biometric functions is currently less than 0.1%. This is partly due to increased consumer awareness of safety and partly due to rising aesthetic standards; people are no longer solely focused on the practicality of water cups but are beginning to pursue their fun and interesting features. As biometric technology becomes more widespread, its cost is also decreasing. In 2024, the market sales of smart water cups with facial recognition functions surged, with single-product sales exceeding 100,000 units in September during the back-to-school season. However, existing facial recognition water cups use a traditional separate connection method for the camera control circuit and central processing circuit, resulting in unstable recognition rates and high after-sales return rates. Furthermore, the separate circuitry occupies a large volume, leading to very limited space utilization. Utility Model Content

[0003] To address the shortcomings of existing technologies, this invention provides a palm vein smart cup lid system based on facial recognition, which solves the technical problems of unstable facial recognition success rate and large space occupation in existing technologies, thereby improving the success rate of facial recognition and effectively reducing the size.

[0004] To solve the above-mentioned technical problems, this utility model provides the following technical solution: a palm vein smart cup lid system based on face recognition, including a power control module, and the palm vein smart cup lid system also includes a central processing module, a night vision face recognition module and a charging module.

[0005] Furthermore, the night vision face recognition module includes a night vision face recognition chip, a power supply, an image sensing signal, and filter capacitors C15, C16, and C21. The power supply is connected to the TXLOW interface of the night vision face recognition chip through filter capacitors C15 and C21. The image sensing signal is connected to the AVDD28 interface of the night vision face recognition chip. The image sensing signal is also grounded through filter capacitor C16. The night vision face recognition chip transmits the DVP_MCLK signal to the central processing module through the INCLK interface.

[0006] Furthermore, the central processing module includes a central processing chip, a 1V power supply, and a 3.3V power supply. The 1V power supply is connected to the VDD_4 interface of the central processing chip, and the 3.3V power supply is connected to the DVDD3 interface of the central processing chip. The central processing chip receives the DVP_MCLK signal through the GPB20 / CLKOUT3 interface.

[0007] Furthermore, the charging module includes a charging chip, a current-limiting resistor R15, and a filter capacitor C18. The ISET interface of the charging chip is connected to the current-limiting resistor R15 and grounded, and the BAT interface of the charging chip is grounded through the filter capacitor C18.

[0008] Furthermore, the power control module includes a cup lid motor, a power chip, and a power capacitor C20. The PA2 / TKCAP interface of the power chip is grounded through the power capacitor C20. The DAT / KEY1 and DAT / KEY2 interfaces of the power chip are respectively connected to the motor and complete the control of the motor.

[0009] Furthermore, the palm vein smart cup cap system also includes a voltage regulator module for converting the voltage of the charging module into a stable voltage, the voltage regulator module including a voltage regulator chip.

[0010] Furthermore, the night vision face recognition chip is model GC0328, the central processing chip is model F2000_QEBD, the charging chip is model FM4057S42, the power chip is model FT62E13F-M, and the voltage regulator chip is model RY1303.

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

[0012] 1. This utility model forms a small MCU and a face recognition integrated PCBA by combining a central processing module and a night vision face recognition module. This not only maintains the original face recognition function, allowing users to open the cup lid by face recognition, but also significantly reduces the space occupied, improves space utilization, and enhances the user experience.

[0013] 2. This utility model, through the accurate recognition function of the night vision face recognition module at night, not only improves the accuracy of face recognition and enhances the adaptability of face recognition environment, but also overcomes the disadvantage of difficulty in recognition in low light at night. This allows users to use it normally during the day and does not affect the accuracy of face recognition at night, thus improving the 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 palm vein smart cup lid system based on face recognition according to this utility model;

[0016] Figure 2 This is a circuit diagram of the night vision face recognition module of this utility model;

[0017] Figure 3 This is a circuit diagram of the left side of the central processing module of this utility model;

[0018] Figure 4 This is a circuit diagram of the right side of the central processing module of this utility model;

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

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

[0021] In the diagram: 1. Central processing module; 2. Night vision face recognition module; 3. Charging module; 4. Voltage regulator module; 5. Power control 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 unstable success rate and large space requirements of existing facial recognition technologies, this embodiment proposes a palm vein smart cup lid system based on facial recognition. This system can improve the success rate of facial recognition and effectively reduce the size. Please refer to [link / reference]. Figure 1 - Figure 6The system includes a power control module 5, and the palm vein smart cup lid system also includes a central processing module 1, a night vision face recognition module 2, and a charging module 3. The night vision face recognition module 2 includes a night vision face recognition chip, a power supply, an image sensing signal, and filter capacitors C15, C16, and C21. The power supply is connected to the TXLOW interface of the night vision face recognition chip through filter capacitors C15 and C21. The image sensing signal is connected to the AVDD28 interface of the night vision face recognition chip, and is also grounded through filter capacitor C16. The night vision face recognition chip transmits the DVP_MCLK signal to the central processing module 1 through the INCLK interface. The central processing module 1 includes a central processing chip, a 1V power supply, and a 3.3V power supply. The 1V power supply is connected to the VDD_4 interface of the central processing chip, and the 3.3V... The power supply is connected to the DVDD3 interface of the central processing chip. The central processing chip receives the DVP_MCLK signal through the GPB20 / CLKOUT3 interface. The charging module 3 includes a charging chip, a current-limiting resistor R15, and a filter capacitor C18. The ISET interface of the charging chip is connected to the current-limiting resistor R15 and grounded. The BAT interface of the charging chip is grounded through the filter capacitor C18. The palm vein smart cup lid system also includes a voltage regulator module 4 for converting the voltage of the charging module 3 into a stable voltage. The voltage regulator module 4 includes a voltage regulator chip, the night vision face recognition chip is model GC0328, the central processing chip is model F2000_QEBD, the charging chip is model FM4057S42, the power chip is model FT62E13F-M, and the voltage regulator chip is model RY1303.

[0024] This invention utilizes a charging module 3 for stable charging and power supply, and a voltage regulator module 4 to convert the power supply voltage of the charging module 3 into a stable voltage for the central processing module 1. The night vision face recognition module 2 provides accurate face recognition in both day and night conditions, accurately identifying faces in darkness. The camera uses an existing infrared lens and an LED raised platform, and testing has determined that a 130-degree angle lens is suitable. In this experiment, a single lens is used for face recognition, transmitting the face image to the central processing module 1. The central processing module 1 uses a face recognition algorithm to complete the user's face recognition and generates a cup lid opening result. The signal is sent to the power control module 5, which then controls the motor of the cup lid to rotate at a certain angle, thereby opening the cup lid. The central processing module and the night vision face recognition module form a small MCU plus face recognition integrated PCBA, which not only maintains the original face recognition function, but also significantly reduces the space occupied and improves space utilization. Through the accurate recognition function of the night vision face recognition module at night, it can not only improve the accuracy of face recognition and enhance the adaptability of face recognition environment, but also overcome the disadvantage of difficulty in recognition in low light at night, thus improving the user experience.

[0025] The power control module 5 includes a cup lid motor, a power chip, and a power capacitor C20. The PA2 / TKCAP interface of the power chip is grounded through the power capacitor C20. The DAT / KEY1 and DAT / KEY2 interfaces of the power chip are connected to the motor and complete the control of the motor.

[0026] This invention can also detect the motor current through the power control module 5, sample and analyze the electrode current through the power chip, and switch the voltage source according to the current magnitude. It can select the voltage provided by the charging module 3 and the voltage regulator module 4, or the voltage provided by USB. Through the accurate recognition function of the night vision face recognition module, this invention can not only improve the accuracy of face recognition and enhance the adaptability of face recognition environment, but also overcome the disadvantage of difficulty in recognition in low light at night, thus improving the 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 a 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 palm vein smart cup lid system based on facial recognition, comprising a power control module (5), characterized in that, The palm vein smart cup lid system also includes a central processing module (1), a night vision face recognition module (2), and a charging module (3). The night vision face recognition module (2) includes a night vision face recognition chip, a power supply, an image sensing signal, and filter capacitors C15, C16 and C21. The power supply is connected to the TXLOW interface of the night vision face recognition chip through filter capacitors C15 and C21. The image sensing signal is connected to the AVDD28 interface of the night vision face recognition chip. The image sensing signal is also grounded through filter capacitor C16. The night vision face recognition chip transmits the DVP_MCLK signal to the central processing module (1) through the INCLK interface.

2. The palm vein intelligent cup cap system according to claim 1, characterized in that, The central processing module (1) includes a central processing chip, a 1V power supply and a 3.3V power supply. The 1V power supply is connected to the VDD_4 interface of the central processing chip, and the 3.3V power supply is connected to the DVDD3 interface of the central processing chip. The central processing chip receives the DVP_MCLK signal through the GPB20 / CLKOUT3 interface.

3. The palm vein intelligent cup cap system according to claim 2, characterized in that, The charging module (3) includes a charging chip, a current-limiting resistor R15 and a filter capacitor C18. The ISET interface of the charging chip is connected to the current-limiting resistor R15 and grounded, and the BAT interface of the charging chip is grounded through the filter capacitor C18.

4. The palm vein intelligent cup cap system according to claim 3, characterized in that, The power control module (5) includes a cup lid motor, a power chip and a power capacitor C20. The PA2 / TKCAP interface of the power chip is grounded through the power capacitor C20. The DAT / KEY1 interface and DAT / KEY2 interface of the power chip are respectively connected to the motor and complete the control of the motor.

5. The palm vein intelligent cup cap system according to claim 4, characterized in that, The palm vein smart cup cap system also includes a voltage regulator module (4) for converting the voltage of the charging module (3) into a stable voltage, the voltage regulator module (4) including a voltage regulator chip.

6. The palm vein intelligent cup cap system according to claim 5, characterized in that, The night vision face recognition chip is model GC0328, the central processing chip is model F2000_QEBD, the charging chip is model FM4057S42, the power chip is model FT62E13F-M, and the voltage regulator chip is model RY1303.

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