Intelligent faucet system based on behavior recognition induction control of camera

Abstract

The invention relates to the technical field of intelligent bathroom accessories, and discloses a camera-based behavior recognition inductive control intelligent faucet system, which comprises a mode switching module, an image acquisition module, an environment information acquisition module, a distance measurement module and an analysis module, image information data of food materials in a cleaning area below the faucet and the distance between the faucet and an object below the faucet are collected through an image collecting module and a distance measuring module which are arranged on the intelligent faucet; finally, an analysis module analyzes according to the image information data of the food materials in the cleaning area, the distance between the faucet and an object below the faucet and the actual environment temperature value, and faucet control parameters are obtained; the faucet can automatically adjust the water outlet temperature of the faucet according to the food materials only by putting the food materials into the cleaning water pool by a user, the faucet can clean different food materials at different water temperatures, and the cleaning effect of the food materials and the safety of food are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent bathroom technology, and in particular to an intelligent faucet system based on camera-based behavior recognition and induction control. Background Art

[0002] With the advancement of technology and the improvement of consumers' demand for quality of life, smart home products cover a wider range and more diverse range of devices and systems, such as smart lighting equipment, smart kitchen equipment, etc.: and the intelligence level of smart homes continues to reach new levels. Today's smart home systems can not only achieve basic remote control and voice interaction, but also constantly learn users' habits and preferences, providing personalized and considerate services for every family member.

[0003] Among them, the smart faucet is a smart kitchen device. In the existing technology, the smart faucet can automatically discharge water through a sensor, can control the water temperature of the faucet, and can also adjust the water flow by recognizing the user's gestures through an image acquisition module.

[0004] However, the above technology can only simply control the flow rate and water temperature of the faucet water. When washing food, each type of food requires a different water temperature. For example, when washing vegetables, warm water is needed to effectively remove pesticides from the vegetables, while when washing seafood, cold water is needed to effectively inhibit bacterial activity. If users do not understand this, they may adjust the water temperature at will for washing, which may ultimately affect the cleaning effect and food safety of the food. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent faucet system based on camera-based behavior recognition and induction control to solve the following technical problems:

[0006] How to effectively clean food with a faucet.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An intelligent faucet system based on camera-based behavior recognition and sensing control, the system comprising:

[0009] A mode switching module, used to switch the usage mode of the faucet, wherein the usage mode includes a food cleaning mode;

[0010] An image acquisition module is provided on the smart faucet and is used to obtain image information data of food in the cleaning area below the faucet;

[0011] The distance measurement module is provided on the smart faucet and is used to collect the distance between the faucet and the object under the faucet;

[0012] Environmental information collection module, used to collect the actual ambient temperature value around the faucet;

[0013] The analysis module analyzes the image information data of the food in the cleaning area, the distance between the faucet and the object under the faucet, and the actual ambient temperature value to obtain the faucet control parameters; the faucet control parameters include the water outlet temperature value.

[0014] As a further solution of the present invention: the working process of the food cleaning mode includes:

[0015] S1: placing food in a washing sink, placing the food directly below the image acquisition module and the distance measurement module; and using the image acquisition module, the environmental information acquisition module, and the distance measurement module to capture an image of the food and a second distance from the faucet to the upper surface of the food;

[0016] S2: Analyze the food image through the analysis module to obtain the type of food in the washing pool;

[0017] S3: The analysis module performs analysis based on the type of food in the washing pool, the actual ambient temperature value, and the second distance from the faucet to the upper surface of the food to obtain the water outlet temperature value of the faucet.

[0018] As a further solution of the present invention: by formula:

[0019]

[0020] Calculate the water temperature T of the tap out ;

[0021] Among them, f(X) is the first judgment function. When X>0, When X≤0, f(X)=1; H2 is the second distance from the faucet to the upper surface of the food; T e is the actual ambient temperature value; T0 is the preset cleaning temperature value corresponding to the type of food in the cleaning pool; C1 is the first preset constant; C2 is the second preset constant.

[0022] As a further solution of the present invention: the system further includes:

[0023] The infrared temperature acquisition module is installed on the smart faucet to collect the temperature values of food and water in the cleaning area;

[0024] The usage mode also includes a food thawing mode;

[0025] The analysis module is used to compare the temperature value of the food in the cleaning area with a preset threshold value. If the temperature value of the food in the cleaning area is lower than the preset threshold value, it switches to the food thawing mode; if the temperature value of the food in the cleaning area is higher than the preset threshold value, it switches to the food cleaning mode.

[0026] As a further embodiment of the present invention, the food types include vegetables, seafood, meat and frozen food.

[0027] As a further solution of the present invention: the working process of the food thawing mode also includes:

[0028] S1: The first distance from the faucet to the bottom of the cleaning pool is collected through the distance measurement module;

[0029] S2: Fix the food at the bottom of the washing sink and block the water outlet of the washing sink; place the food directly under the infrared temperature acquisition module, image acquisition module and distance measurement module; use the infrared temperature acquisition module, image acquisition module and distance measurement module to collect the initial temperature value of the food, the image of the food and the second distance from the faucet to the upper surface of the food; then use the environmental information acquisition module to collect the actual ambient temperature value around the faucet;

[0030] S3: Analyzing the food image through the analysis module to obtain the food cross-sectional area collected by the food image collection module;

[0031] S4: Analyzing the first distance from the faucet to the bottom of the washing sink, the initial temperature of the food, the food image, the second distance from the faucet to the upper surface of the food, and the actual ambient temperature to obtain the outlet water temperature of the faucet and the water refilling interval;

[0032] S5; controlling the faucet through the control module to discharge water according to the water temperature value and the preset flow rate of the faucet until the water submerges the food;

[0033] S6: Obtain a curve of the water surface temperature changing with time through the infrared temperature acquisition module; and add a certain amount of water of a preset temperature according to the water adding interval; before each water adding, analyze the curve of the water surface temperature changing with time to obtain a judgment index, and judge whether to continue adding water based on the judgment index.

[0034] As a further solution of the present invention: by formula:

[0035]

[0036] Calculate the water addition interval Δt s ;

[0037] Wherein, g(X) is the second judgment function, when X>0, g(X)=X; when X≤0, f(X)=0; Δt0 is the preset water addition interval length; S s is the cross-sectional area of the food; H1 is the first distance from the faucet to the bottom of the cleaning sink; V0 is the preset volume of the food; F sis the initial temperature value of the food; F0 is the preset temperature value of the food; γ1 is the first weight coefficient; γ2 is the second weight coefficient; γ3 is the third weight coefficient; C3 is the third preset constant; C4 is the fourth preset constant; C5 is the fifth preset constant.

[0038] As a further solution of the present invention: by formula:

[0039] P=g(W n -W0)*g[R0-(W n0 -W n )]

[0040] Calculate the judgment index P;

[0041] Among them, W n is the current water temperature; W0 is the preset detection temperature value, 2≤W0 <T0;W n0 It is the water temperature value after the last water addition; R0 is the preset temperature difference.

[0042] As a further embodiment of the present invention:

[0043] The judgment process of whether to continue adding water is as follows:

[0044] When P=0, continue adding water;

[0045] When P>0, there is no need to add water.

[0046] Beneficial effects of the present invention:

[0047] The present invention uses an image acquisition module and a distance measurement module arranged on the intelligent faucet to respectively collect image information data of food in the cleaning area below the faucet and the distance between the faucet and the object below the faucet; finally, the analysis module analyzes the image information data of food in the cleaning area, the distance between the faucet and the object below the faucet, and the actual ambient temperature value to obtain faucet control parameters; the user only needs to put the food into the cleaning pool, and the faucet can automatically adjust the water outlet temperature of the faucet according to the food, so that the faucet can use different water temperatures to clean different food, effectively improving the cleaning effect of the food and the safety of the food. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The present invention will be further described below with reference to the accompanying drawings.

[0049] Figure 1 This is a system module framework diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0051] See also Figure 1 As shown, in one embodiment, a smart faucet system based on camera-based behavior recognition and sensing control is provided, the system comprising:

[0052] A mode switching module, used to switch the usage mode of the faucet, wherein the usage mode includes a food cleaning mode;

[0053] An image acquisition module is provided on the smart faucet and is used to obtain image information data of food in the cleaning area below the faucet;

[0054] The distance measurement module is provided on the smart faucet and is used to collect the distance between the faucet and the object under the faucet;

[0055] Environmental information collection module, used to collect the actual ambient temperature value around the faucet;

[0056] An analysis module is configured to analyze the image information data of the food in the cleaning area, the distance between the faucet and the object under the faucet, and the actual ambient temperature to obtain faucet control parameters; the faucet control parameters include the outlet water temperature;

[0057] Through the above technical solution, this embodiment switches the usage mode of the faucet through the mode switching module. When switching to the food cleaning mode, the image information data of the food in the cleaning area below the faucet and the distance between the faucet and the object below the faucet are respectively collected through the image acquisition module and the distance measurement module set on the smart faucet; finally, the analysis module analyzes the image information data of the food in the cleaning area, the distance between the faucet and the object below the faucet and the actual ambient temperature value to obtain the faucet control parameters; the user only needs to put the food into the cleaning pool and the faucet can automatically adjust the water outlet temperature of the faucet according to the food, so that the faucet can use different water temperatures to clean different foods, effectively improving the cleaning effect of the food and the safety of food.

[0058] As an embodiment of the present invention, the working process of the food cleaning mode includes:

[0059] S1: placing food in a washing sink, placing the food directly below the image acquisition module and the distance measurement module; and using the image acquisition module, the environmental information acquisition module, and the distance measurement module to capture an image of the food and a second distance from the faucet to the upper surface of the food;

[0060] S2: Analyze the food image through the analysis module to obtain the type of food in the washing pool;

[0061] S3: The analysis module analyzes the type of food in the washing pool, the actual ambient temperature, and the second distance from the faucet to the upper surface of the food to obtain the outlet water temperature of the faucet;

[0062] Through the above technical solution, this embodiment places the food in the cleaning pool and places the food directly below the image acquisition module and the distance measurement module; and uses the image acquisition module and the distance measurement module to capture the food image and the second distance from the faucet to the upper surface of the food; then uses the analysis module to analyze the food image to obtain the type of food in the cleaning pool; finally, uses the analysis module to analyze based on the type of food in the cleaning pool and the second distance from the faucet to the upper surface of the food to obtain the water outlet temperature value of the faucet; the user only needs to put the food into the cleaning pool and the faucet can automatically adjust the water outlet temperature of the faucet according to the food, so that the faucet can use different water temperatures to clean different food, effectively improving the cleaning effect of the food and the safety of food.

[0063] It should be noted that analyzing the food image by the analysis module to obtain the type of food in the washing pool is a prior art and will not be described in detail here.

[0064] As an embodiment of the present invention, by formula:

[0065]

[0066] Calculate the water temperature T of the tap out ;

[0067] Among them, f(X) is the first judgment function. When X>0, When X≤0, f(X)=1; H2 is the second distance from the faucet to the upper surface of the food; T e is the actual ambient temperature; T0 is the preset cleaning temperature corresponding to the type of food in the cleaning pool; C1 is the first preset constant; C2 is the second preset constant;

[0068] According to the above technical solution, the larger the second distance H2 from the faucet to the upper surface of the food in this embodiment, the longer the heat exchange time between the water flowing out of the faucet and the external environment. In order to make the water reach the preset cleaning temperature value corresponding to the type of food in the washing pool when it contacts the food, the water outlet temperature value T of the faucet is set to 0.out The higher; T0-T e is the difference between the preset cleaning temperature value and the actual ambient temperature value corresponding to the type of food in the cleaning pool; in the formula f(T0-T e ), X in the first judgment function f(X) refers to T0-T e , used to determine whether the preset cleaning temperature value corresponding to the type of food in the cleaning pool is higher than the actual ambient temperature value; when T0-T e <0, it means that the preset cleaning temperature value corresponding to the type of food in the cleaning pool is not higher than the actual ambient temperature value, which means that the actual environment will not absorb heat from the water flowing out of the faucet. When the water flowing out of the faucet contacts the food, the temperature value will not change due to the heat absorbed by the environment. e When it is >0, it means that the preset cleaning temperature value corresponding to the type of food in the washing pool is higher than the actual ambient temperature value, which means that the actual environment will absorb heat from the water flowing out of the faucet. When the water flowing out of the faucet contacts the food, it will be lower than the preset cleaning temperature value. In order to make the water reach the preset cleaning temperature value corresponding to the type of food in the washing pool when it contacts the food, the tap water temperature value T out The higher the value, the greater the difference between the preset cleaning temperature value and the actual ambient temperature value corresponding to the type of food in the cleaning pool is T0-T e The larger the value, the lower the temperature of the water flowing out of the tap when it contacts the bottom of the cleaning pool. Therefore, the outlet water temperature value T out The higher;

[0069] It should be noted that the preset cleaning temperature value T0, the first preset constant C1 and the second preset constant C2 corresponding to the types of food in the cleaning pool are preset values, which are obtained based on experience and will not be described in detail here.

[0070] As an embodiment of the present invention, the system further includes:

[0071] The infrared temperature acquisition module is installed on the smart faucet to collect the temperature values of food and water in the cleaning area;

[0072] The usage mode also includes a food thawing mode;

[0073] The analysis module is used to compare the temperature value of the food in the cleaning area with a preset threshold value. If the temperature value of the food in the cleaning area is lower than the preset threshold value, the mode is switched to food thawing mode; if the temperature value of the food in the cleaning area is higher than the preset threshold value, the mode is switched to food cleaning mode;

[0074] Through the above technical solution, this embodiment uses an infrared temperature acquisition module to collect the temperature values of the food and water in the cleaning area; then uses an analysis module to compare the temperature value of the food in the cleaning area with a preset threshold value. If the temperature value of the food in the cleaning area is lower than the preset threshold value, the mode is switched to food thawing mode; if the temperature value of the food in the cleaning area is higher than the preset threshold value, the mode is switched to food washing mode;

[0075] It should be noted that the preset threshold is a preset value obtained based on experience and will not be described in detail here.

[0076] As an embodiment of the present invention, the working process of the food thawing mode further includes:

[0077] S1: The first distance from the faucet to the bottom of the cleaning pool is collected through the distance measurement module;

[0078] S2: Fix the food at the bottom of the washing sink and block the water outlet of the washing sink; place the food directly under the infrared temperature acquisition module, image acquisition module and distance measurement module; use the infrared temperature acquisition module, image acquisition module and distance measurement module to collect the initial temperature value of the food, the image of the food and the second distance from the faucet to the upper surface of the food; then use the environmental information acquisition module to collect the actual ambient temperature value around the faucet;

[0079] S3: Analyzing the food image through the analysis module to obtain the food cross-sectional area collected by the food image collection module;

[0080] S4: Analyzing the first distance from the faucet to the bottom of the washing sink, the initial temperature of the food, the food image, the second distance from the faucet to the upper surface of the food, and the actual ambient temperature to obtain the outlet water temperature of the faucet and the water refilling interval;

[0081] S5; controlling the faucet through the control module to discharge water according to the water temperature value and the preset flow rate of the faucet until the water submerges the food;

[0082] S6: Obtain a curve of the water surface temperature changing over time through the infrared temperature acquisition module; and add a certain amount of water of a preset temperature according to the water addition interval; before each water addition, analyze the curve of the water surface temperature changing over time to obtain a judgment index, and determine whether to continue adding water based on the judgment index;

[0083] Through the above technical solution, this embodiment switches the faucet to the food defrosting mode through the mode switching module, and collects the first distance from the faucet to the bottom of the cleaning pool through the distance measuring module; then fixes the food at the bottom of the cleaning pool and blocks the water outlet of the cleaning pool; places the food directly under the infrared temperature acquisition module, the image acquisition module and the distance measuring module; and collects the initial temperature value of the food, the food image and the second distance from the faucet to the upper surface of the food through the infrared temperature acquisition module, the image acquisition module and the distance measuring module; then collects the actual ambient temperature value around the faucet through the environmental information acquisition module; then analyzes the food image through the analysis module to obtain the food cross-sectional area collected by the food image acquisition module; then, the distance from the faucet to the cleaning pool is analyzed through the analysis module The first distance from the bottom, the initial temperature value of the food, the image of the food, the second distance from the faucet to the upper surface of the food and the actual ambient temperature value are analyzed to obtain the water outlet temperature value of the faucet and the water adding interval time; then the faucet is controlled by the control module to discharge water according to the water outlet temperature value of the faucet and the preset flow rate until the water submerges the food; finally, the curve of the water surface temperature changing with time is obtained through the infrared temperature acquisition module; and a certain amount of water of the preset temperature is added according to the water adding interval time; before each water addition, the curve of the water surface temperature changing with time is analyzed to obtain a judgment index, and whether to continue adding water is determined based on the judgment index; the food is automatically thawed according to the actual situation of the food, so as to improve the thawing speed of the food without affecting the taste of the food.

[0084] It should be noted that obtaining the cross-sectional area of an object based on an image of the object is a prior art and will not be described in detail here.

[0085] As an embodiment of the present invention, the types of ingredients include vegetables, seafood, meat and frozen ingredients.

[0086] It should be noted that the water outlet temperature values of the faucets in the food thawing mode and the food cleaning mode are obtained in the same way; in the food thawing mode, the food type is frozen food; and in the food cleaning mode, the food type is vegetables, seafood and meat.

[0087] As an embodiment of the present invention, by formula:

[0088]

[0089] Calculate the water addition interval Δt s ;

[0090] Wherein, g(X) is the second judgment function, when X>0, g(X)=X; when X≤0, f(X)=0; Δt0 is the preset water addition interval length; S s is the cross-sectional area of the food; H1 is the first distance from the faucet to the bottom of the cleaning sink; V0 is the preset volume of the food; Fs is the initial temperature value of the food; F0 is the preset temperature value of the food; γ1 is the first weight coefficient; γ2 is the second weight coefficient; γ3 is the third weight coefficient; C3 is the third preset constant; C4 is the fourth preset constant; C5 is the fifth preset constant;

[0091] According to the above technical solution, in this embodiment, H1-H2 is the thickness of the food; S s *(H1-H2) is the estimated volume of the ingredients; S s *(H1-H2)-V0 is the difference between the estimated volume of the food and the preset volume; when S s *When (H1-H2)-V0>0, it means that the estimated volume of the food is greater than the preset volume. Therefore, the surface area of the food may be larger, and the heat exchange rate with water is faster; the interval time of adding water Δt s The shorter; when S s *When (H1-H2)-V0≤0, it means that the estimated volume of the food is greater than the preset volume. Therefore, the surface area of the food may be smaller, and the heat exchange rate with water is slower; the interval time of adding water Δt s The longer; in the formula g(T e -T0), the X in the second judgment function g(X) refers to T e -T0; when T0-T e When >0, it means that the preset cleaning temperature value corresponding to the type of food in the cleaning pool is higher than the actual ambient temperature value, so the environment may absorb more heat from the water, so the water heat consumption is faster; the water addition interval length Δt s The shorter; g(T e -T0)=T e -T0; when T0-T e <0, it means that the preset cleaning temperature value corresponding to the type of food in the cleaning pool is lower than the actual ambient temperature value, so the environment will not absorb the heat in the water, and the water addition interval time remains unchanged. g(T e -T0)=0;F0-F s The difference between the preset temperature value of the food and the initial temperature value of the food; when F0-F s When >0, it means that the preset temperature value of the food is greater than the initial temperature value of the food, so the food needs to absorb more heat, so the interval time of adding water is Δt s The shorter; when F0-F s When <0, it means that the preset temperature value of the food is greater than the initial temperature value of the food, so the food needs to absorb less heat, so the interval time of adding water is Δt s The longer;

[0092] It should be noted that the preset water addition interval time Δt0, the preset volume of the food V0, the preset temperature value F0 of the food, the first weight coefficient γ1, the second weight coefficient γ2, the third weight coefficient γ3, the third preset constant C3, the fourth preset constant C4 and the fifth preset constant C5 are preset values, which are obtained based on experience and will not be described in detail here.

[0093] As an embodiment of the present invention, by formula:

[0094] P=g(W n -W0)*g[R0-(W n0 -W n )]

[0095] Calculate the judgment index P;

[0096] Among them, W n is the current water temperature; W0 is the preset detection temperature value, 2≤W0 <T0;W n0 The water temperature after the last water addition is completed; R0 is the preset temperature difference;

[0097] Through the above technical solution, this embodiment W n -W0 is the difference between the current water temperature and the preset detection temperature; in formula g(W n -W0), the X in the second judgment function g(X) refers to W n -W0; when W n -W0>0, indicating that the current water temperature is higher than the preset detection temperature, indicating that the current water temperature is high, g(W n -W0)=W n -W0; when W n When -W0≤0, it means that the current water temperature is not higher than the preset detection temperature, which means that the current water temperature is low. n -W0)=0;W n0 -W n The difference between the water temperature value after the last water addition and the current water temperature value, R0-(W n0 -W n ) is the difference between the preset temperature difference and the water temperature value after the last water addition and the current water temperature value; in the formula g[R0-(W n0 -W n )], the X in the second judgment function g(X) refers to R0-(W n0 -W n ); when R0-(W n0 -W n)>0, indicating that the preset temperature difference is higher than the difference between the water temperature value after the last water addition and the current water temperature value, indicating that the change in water temperature after the last water addition is small, g[R0-(W n0 -W n )]=R0-(W n0 -W n ); when R0-(W n0 -W n )≤0, indicating that the preset temperature difference is not higher than the difference between the water temperature value after the last water addition and the current water temperature value, indicating that the water temperature has changed significantly since the last water addition to the current time. n0 -W n )]=0;

[0098] As an embodiment of the present invention, the judgment process of whether to continue adding water is as follows:

[0099] When P=0, continue adding water;

[0100] When P>0, there is no need to add water;

[0101] Through the above technical solution, in this embodiment, when P=0, it is explained that g(W n -W0)=0 or g[R0-(W n0 -W n )]=0, indicating that the current water temperature is low or the water temperature has changed greatly since the last time water was added. Therefore, the thawing is not complete and water needs to be added. When P>0, it means g(W n -W0)=W n -W0 and g[R0-(W n0 -W n )]=R0-(W n0 -W n ), indicating that the current water temperature is relatively high and the change in water temperature since the last water addition to the current time is small, so the thawing is complete and there is no need to add water.

[0102] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. The intelligent faucet system based on camera behavior recognition and induction control is characterized by: The system comprises: A mode switching module, used to switch the usage mode of the faucet, wherein the usage mode includes a food cleaning mode; An image acquisition module is provided on the smart faucet and is used to obtain image information data of food in the cleaning area below the faucet; The distance measurement module is provided on the smart faucet and is used to collect the distance between the faucet and the object under the faucet; Environmental information collection module, used to collect the actual ambient temperature value around the faucet; The analysis module analyzes the image information data of the food in the cleaning area, the distance between the faucet and the object under the faucet, and the actual ambient temperature value to obtain the faucet control parameters; the faucet control parameters include the water outlet temperature value.

2. The intelligent faucet system based on camera behavior recognition and induction control according to claim 1 is characterized in that: The working process of the food cleaning mode includes: S1: placing food in a washing sink, placing the food directly below the image acquisition module and the distance measurement module; and using the image acquisition module, the environmental information acquisition module, and the distance measurement module to capture an image of the food and a second distance from the faucet to the upper surface of the food; S2: Analyze the food image through the analysis module to obtain the type of food in the washing pool; S3: The analysis module performs analysis based on the type of food in the washing pool, the actual ambient temperature value, and the second distance from the faucet to the upper surface of the food to obtain the water outlet temperature value of the faucet.

3. The intelligent faucet system based on camera behavior recognition and induction control according to claim 2 is characterized in that: By formula: Calculate the water temperature T of the tap out ; Among them, f(X) is the first judgment function. When X>0, When X≤0, f(X)=1; H2 is the second distance from the faucet to the upper surface of the food; T e is the actual ambient temperature value; T0 is the preset cleaning temperature value corresponding to the type of food in the cleaning pool; C1 is the first preset constant; C2 is the second preset constant.

4. The intelligent faucet system based on camera behavior recognition and induction control according to claim 3 is characterized in that: The system further comprises: The infrared temperature acquisition module is installed on the smart faucet to collect the temperature values of food and water in the cleaning area; The usage mode also includes a food thawing mode; The analysis module is used to compare the temperature value of the food in the cleaning area with a preset threshold value. If the temperature value of the food in the cleaning area is lower than the preset threshold value, it switches to the food thawing mode; if the temperature value of the food in the cleaning area is higher than the preset threshold value, it switches to the food cleaning mode.

5. The intelligent faucet system based on camera behavior recognition and induction control according to claim 4 is characterized in that: The types of ingredients include vegetables, seafood, meat and frozen ingredients.

6. The intelligent faucet system based on camera behavior recognition and induction control according to claim 5 is characterized in that: The working process of the food thawing mode also includes: S1: The first distance from the faucet to the bottom of the cleaning pool is collected through the distance measurement module; S2: Fix the food at the bottom of the washing sink and block the water outlet of the washing sink; place the food directly under the infrared temperature acquisition module, image acquisition module and distance measurement module; use the infrared temperature acquisition module, image acquisition module and distance measurement module to collect the initial temperature value of the food, the image of the food and the second distance from the faucet to the upper surface of the food; then use the environmental information acquisition module to collect the actual ambient temperature value around the faucet; S3: Analyzing the food image through the analysis module to obtain the food cross-sectional area collected by the food image collection module; S4: Analyzing the first distance from the faucet to the bottom of the washing sink, the initial temperature of the food, the food image, the second distance from the faucet to the upper surface of the food, and the actual ambient temperature to obtain the outlet water temperature of the faucet and the water refilling interval; S5; controlling the faucet through the control module to discharge water according to the water temperature value and the preset flow rate of the faucet until the water submerges the food; S6: Obtain a curve of the water surface temperature changing with time through the infrared temperature acquisition module; and add a certain amount of water of a preset temperature according to the water adding interval; before each water adding, analyze the curve of the water surface temperature changing with time to obtain a judgment index, and judge whether to continue adding water based on the judgment index.

7. The intelligent faucet system based on camera behavior recognition and induction control according to claim 6 is characterized in that: By formula: Calculate the water addition interval Δt s ; Wherein, g(X) is the second judgment function, when X>0, g(X)=X; when X≤0, f(X)=0; Δt0 is the preset water addition interval length; S s is the cross-sectional area of the food; H1 is the first distance from the faucet to the bottom of the cleaning sink; V0 is the preset volume of the food; F s is the initial temperature value of the food; F0 is the preset temperature value of the food; γ1 is the first weight coefficient; γ2 is the second weight coefficient; γ3 is the third weight coefficient; C3 is the third preset constant; C4 is the fourth preset constant; C5 is the fifth preset constant.

8. The intelligent faucet system based on camera-based behavior recognition and induction control according to claim 7 is characterized in that: By formula: P=g(W n -W0)*g[R0-(W n0 -IN n )] Calculate the judgment index P; Among them, W n is the current water temperature; W0 is the preset detection temperature value, 2≤W0 <T0;W n0 It is the water temperature value after the last water addition; R0 is the preset temperature difference.

9. The intelligent faucet system based on camera behavior recognition and induction control according to claim 8 is characterized in that: The judgment process of whether to continue adding water is as follows: When P=0, continue adding water; When P>0, there is no need to add water.

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