Control method and control system of vehicle-mounted atmosphere lamp

Abstract

The invention is suitable for the technical field of vehicle control, and provides a control method and system for a vehicle-mounted atmosphere lamp, and the method comprises the following steps: obtaining image data of members in a vehicle through an image collection device disposed in the vehicle, and obtaining the basic information of the members in the vehicle according to the image data; inputting the basic information into a trained prediction model to obtain preference information of the members in the vehicle, wherein the preference information is color preference of the members in the vehicle; obtaining specified color information according to the preference information by utilizing an algorithm, wherein the specified color information comprises a plurality of colors determined by RGB (Red, Green, Blue) values; and generating a light control instruction according to the specified color information through the cloud service and issuing the light control instruction to a central control system of the vehicle. According to the invention, the atmosphere lamp can be adjusted according to the members in the vehicle by using a scientific algorithm, and the light of the atmosphere lamp can be continuously and automatically adjusted.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle control, and in particular to a control method and a control system for a vehicle-mounted atmosphere lamp. Background Art

[0002] Ambient lights are lighting devices used to create a specific atmosphere or enhance the beauty of an environment. They are usually used to decorate homes, offices or commercial places such as restaurants and hotels, but with the development of automobiles, it is very common to use ambient lights on vehicles.

[0003] Relying on RGB LED multi-light source technology, the color of the ambient light can be flexibly adjusted. When using the vehicle, the owner can adjust the color of the ambient light through the central control screen or button knob, so that the cabin can present the light color that the owner likes, which can enhance the driving or riding experience of the vehicle to a certain extent.

[0004] In actual situations, the experience of ambient lighting is not limited to the car owner or the driving seat, so now ambient lighting is used in various places in the car. Different people have different acceptance of light colors, and long-term use of one color of light can easily lead to aesthetic fatigue. Therefore, color adjustment of ambient lighting in the car is a difficult decision for most car owners. Therefore, a control method and control system for vehicle-mounted ambient lighting are proposed to solve the above problems. Summary of the invention

[0005] In view of the deficiencies in the prior art, an object of the present invention is to provide a control method and a control system for a vehicle-mounted ambient light, so as to solve the problems existing in the above-mentioned background technology.

[0006] The present invention is implemented as follows: a method for controlling a vehicle-mounted ambient light, the method comprising the following steps:

[0007] Acquire image data about the occupants in the vehicle through an image acquisition device arranged in the vehicle, and obtain basic information about the occupants in the vehicle based on the image data;

[0008] Inputting the basic information into the trained prediction model to obtain the preference information of the occupants in the vehicle, wherein the preference information is the color preference of each occupant in the vehicle;

[0009] Obtaining designated color information according to the preference information using an algorithm, wherein the designated color information includes a plurality of colors determined by RGB values;

[0010] Through cloud services, lighting control instructions are generated according to the specified color information and sent to the vehicle's central control system, so that the interior ambient lighting can be adjusted according to the age and gender distribution of the car occupants.

[0011] As a further solution of the present invention: the step of obtaining basic information of the occupants in the vehicle according to the image data specifically includes:

[0012] Using computer vision to capture and recognize human faces based on the image data obtained, and numbering the occupants of the vehicle based on the positions of the human faces in the images;

[0013] Extracting features of the face with reference to the serial number to obtain feature data, wherein the feature data corresponds to the serial number one by one;

[0014] Input the feature data into two pre-trained deep learning models to obtain age information and gender information respectively;

[0015] The age information, gender information and member number are integrated to obtain basic information of the members in the car.

[0016] As a further solution of the present invention: the step of obtaining the specified color information according to the preference information by using the algorithm specifically includes:

[0017] Assigning RGB values ​​based on the preference information to obtain RGB values ​​corresponding to the members in the car;

[0018] The RGB value is processed and rounded using an average value algorithm to obtain a specified RGB value, where the specified RGB value corresponds to a color;

[0019] A floating value method is used to select multiple RGB values ​​according to the specified RGB value, so as to select multiple colors with the same hue as the color corresponding to the specified RGB value;

[0020] The designated RGB value and a plurality of candidate RGB values ​​are integrated to obtain the designated color information.

[0021] As a further solution of the present invention: the step of using the average value algorithm to process and round the RGB value to obtain the specified RGB value specifically includes:

[0022] When the RGB values ​​are obtained, weights are assigned according to the distribution of the RGB values, and when the RGB values ​​are repeated, weights are assigned according to their number;

[0023] The weight values ​​corresponding to the RGB values ​​are compared with each other to determine the maximum value among the weight values;

[0024] When the weight value corresponding to the driver's RGB value is not the maximum value, re-assign the weight value according to the maximum value of the weight value, and the difference between the weight value of the driver's RGB value and the maximum value of the weight value is 1;

[0025] Calculates the weighted average of RGB to get the specified RGB value of the determined value.

[0026] As a further solution of the present invention: the control method of the vehicle-mounted atmosphere lamp further includes:

[0027] When the interior ambient light of the vehicle rotates colors according to the lighting control instruction, the rotation of the ambient light is recorded in chronological order to obtain the lighting change data;

[0028] The human body feature data is collected in real time through the sensor equipment and image acquisition equipment installed in the car and uploaded;

[0029] Align the lighting transformation data with the human feature data in time series and compare the two;

[0030] Based on the comparison results, a lighting adjustment instruction is generated and sent to the vehicle's central control system, so that when the interior ambient light rotates in color, the color of the ambient light can be determined based on the member's facial expressions and vital signs data.

[0031] As a further solution of the present invention: the human feature data includes facial data and body feature data, and the facial data is the facial expression features of the occupants in the vehicle.

[0032] Another object of the present invention is to provide a control system for a vehicle-mounted ambient light, the system comprising:

[0033] An image processing module, used to obtain image data about the occupants in the vehicle through an image acquisition device arranged in the vehicle, and obtain basic information about the occupants in the vehicle based on the image data;

[0034] A color prediction module is used to input basic information into a trained prediction model to obtain preference information of the occupants in the vehicle, wherein the preference information is the color preference of each occupant in the vehicle;

[0035] an algorithm processing module, using an algorithm to obtain designated color information according to the preference information, wherein the designated color information includes a plurality of colors determined by RGB values;

[0036] The lighting control module is used to generate lighting control instructions based on the specified color information through cloud services and send them to the vehicle's central control system, so that the interior ambient lighting can be adjusted according to the age and gender distribution of the vehicle occupants.

[0037] As a further solution of the present invention: the image processing module includes:

[0038] A face capture unit, used to capture and identify faces using computer vision based on the acquired image data, and to number the occupants of the vehicle based on the positions of the faces in the images;

[0039] A feature extraction unit, used to extract features of the face with reference to the serial number to obtain feature data, wherein the feature data corresponds to the serial number one by one;

[0040] A face recognition unit, used to input feature data into two pre-trained deep learning models to obtain age information and gender information respectively;

[0041] The information integration unit is used to integrate the age information, gender information and member number to obtain basic information of the members in the car.

[0042] As a further solution of the present invention: the algorithm processing module includes:

[0043] an assignment unit, which performs RGB assignment based on the preference information to obtain RGB values ​​corresponding to the members in the vehicle;

[0044] an average value calculation unit, which uses an average value algorithm to process and round the RGB value to obtain a specified RGB value, where the specified RGB value corresponds to a color;

[0045] The RGB value candidate unit uses an up-and-down floating value method to select multiple candidate RGB values ​​according to the specified RGB value, and is used to select multiple colors with the same hue as the color corresponding to the specified RGB value;

[0046] The color integration unit is used to integrate the specified RGB value and multiple candidate RGB values ​​to obtain the specified color information.

[0047] As a further solution of the present invention: the control system of the vehicle-mounted atmosphere light further includes a light determination module, and the light determination module includes:

[0048] A light recording unit is used to record the rotation of the ambient light in chronological order to obtain light change data when the ambient light in the vehicle rotates its color according to the light control instruction;

[0049] A feature collection unit is used to upload the human feature data collected in real time through the sensor equipment and image collection equipment installed in the vehicle;

[0050] A data comparison unit, used to align the light transformation data with the human feature data in time series and compare the two;

[0051] The lighting secondary determination unit generates lighting adjustment instructions based on the comparison results and transmits them to the vehicle's central control system, so that when the interior ambient light rotates in color, the color of the ambient light can be determined based on the member's facial expressions and vital signs data.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] When the present invention controls the ambient light in the car, it will make adaptive adjustments according to the situation of the passengers in the car. First, the image of the member is obtained by using an image acquisition device, and then the age and gender of the member in the car, that is, the basic information, is analyzed, so that the color preferences of the members can be analyzed by using a prediction model, and then the algorithm is used to calculate the most suitable color for the current situation, so that the ambient light can be adjusted according to the situation. In summary, the present invention uses a scientific algorithm to adjust the ambient light according to the passengers in the car, and can also continuously and automatically adjust the ambient light, eliminating the trouble of the car owner to choose, realizing the flexibility of the ambient light, and effectively increasing the freshness when driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 The present invention is a flow chart of a method for controlling a vehicle-mounted ambient light.

[0055] Figure 2 The present invention is a flow chart of obtaining basic information of vehicle occupants based on image data in a method for controlling vehicle ambient lights.

[0056] Figure 3 The present invention is a flow chart of a method for controlling a vehicle ambient light, which uses an algorithm to obtain designated color information according to preference information.

[0057] Figure 4 The present invention is a flow chart of a method for controlling a vehicle ambient light, in which an average value algorithm is used to process and round RGB values ​​to obtain a specified RGB value.

[0058] Figure 5 The present invention is a flow chart of generating a lighting adjustment instruction based on a comparison result in a method for controlling a vehicle-mounted ambient light.

[0059] Figure 6 The present invention is a structural schematic diagram of a control system for a vehicle-mounted ambient light.

[0060] Figure 7 The figure is a schematic diagram of the structure of an image processing module in a control system of a vehicle-mounted ambient light.

[0061] Figure 8 The figure is a schematic diagram of the structure of an algorithm processing module in a control system of a vehicle-mounted ambient light.

[0062] Fig. 9 The present invention is a structural schematic diagram of a light determination module in a vehicle-mounted ambient light control system. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0064] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0065] like Figure 1 As shown, an embodiment of the present invention provides a method for controlling a vehicle ambient light, the method comprising the following steps:

[0066] S100, acquiring image data about the occupants in the vehicle through an image acquisition device disposed in the vehicle, and obtaining basic information about the occupants in the vehicle according to the image data;

[0067] S200, inputting the basic information into the trained prediction model to obtain the preference information of the occupants in the vehicle, wherein the preference information is the color preference of each occupant in the vehicle;

[0068] S300, obtaining designated color information according to the preference information by using an algorithm, wherein the designated color information includes a plurality of colors determined by RGB values;

[0069] S400 generates lighting control instructions based on the specified color information through cloud services and sends them to the vehicle's central control system, so that the interior ambient light can be adjusted according to the age and gender distribution of the vehicle occupants.

[0070] It should be noted that the specified color information does not refer to one color. After filtering out the preference information of each occupant of the vehicle through the prediction model, several alternative colors will be obtained by processing using the algorithm. Of course, these colors all belong to the same color system and there will not be very intuitive differences. The ambient light can be displayed in a rotating manner. Of course, the specific color determination will be described in detail below.

[0071] In the embodiment of the present invention, when the present invention controls the ambient light in the car, it will make adaptive adjustments according to the situation of the passengers in the car. First, the image of the member is obtained by using an image acquisition device, and then the age and gender of the member in the car, that is, the basic information, is analyzed, so that the color preferences of the members can be analyzed by using a prediction model, and then the most suitable color for the current situation is calculated by using an algorithm, so that the ambient light can be adjusted according to the situation. In summary, the present invention uses a scientific algorithm to adjust the ambient light according to the passengers in the car, and can also continuously and automatically adjust the ambient light, eliminating the trouble of the car owner to choose, realizing the flexibility of the ambient light, and effectively increasing the freshness of driving.

[0072] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of obtaining basic information of the occupants in the vehicle according to the image data specifically includes:

[0073] S101, using computer vision to capture and recognize human faces according to the obtained image data, and numbering the occupants of the vehicle based on the positions of the human faces in the image;

[0074] S102, extracting features of the face with reference to the serial number to obtain feature data, wherein the feature data corresponds to the serial number one by one;

[0075] S103, inputting the feature data into two pre-trained deep learning models to obtain age information and gender information respectively;

[0076] S104, integrating the age information, gender information and member number to obtain basic information of the members in the vehicle.

[0077] In an embodiment of the present invention, the image data is a video of all situations in the car acquired by an image acquisition device, and the faces of the people in the car only occupy a small part of it. Therefore, it is necessary to use computer vision technology to capture the human face so as to acquire facial features. The numbers are arranged according to the positions of the people in the car so that the feature data can correspond to specific people. Although the multi-task model in conventional technology can simultaneously process the feature data to obtain the age and gender of the people, in this embodiment, in order to improve the recognition accuracy, two independent deep learning models are used to identify the age and gender respectively. The basic information obtained by the above method includes the corresponding people in the car and the age and gender of the people.

[0078] like Figure 3 As shown, as a preferred embodiment of the present invention, the step of obtaining the specified color information according to the preference information by using an algorithm specifically includes:

[0079] S301, assigning RGB values ​​based on the preference information to obtain RGB values ​​corresponding to the members in the car;

[0080] S302, using an average value algorithm to process and round the RGB value to obtain a specified RGB value, where the specified RGB value corresponds to a color;

[0081] S303, using an up-and-down floating value method to select multiple RGB values ​​to be selected according to the specified RGB value, so as to select multiple colors with the same hue as the color corresponding to the specified RGB value;

[0082] S304: Integrate the designated RGB value and multiple candidate RGB values ​​to obtain the designated color information.

[0083] In an embodiment of the present invention, the prediction model can predict that each occupant in the car will prefer a color. In order for the ambient light to be received, the color needs to be neutralized, generally by removing the intermediate color, and the color can be replaced by the RGB value. The average value of the RGB value can be obtained by using the average value algorithm. The average value corresponds to a specific value and also corresponds to a color. Of course, in order to make the ambient light display more flexible, a floating value method is used to select multiple alternative colors. It can be seen from the above description that the specified color information corresponds to multiple colors.

[0084] like Figure 4 As shown, as a preferred embodiment of the present invention, the step of using the average value algorithm to process and round the RGB value to obtain the specified RGB value specifically includes:

[0085] S3021, when the RGB values ​​are obtained, weights are assigned according to the distribution of the RGB values, and when the RGB values ​​are repeated, weights are assigned according to the number of repeated RGB values;

[0086] S3022, comparing the weight values ​​corresponding to the RGB values ​​to determine the maximum value among the weight values;

[0087] S3023, when the weight value corresponding to the driver's RGB value is not the maximum value, re-assigning the weight value according to the maximum value of the weight value, and the difference between the weight value of the driver's RGB value and the maximum value of the weight value is 1;

[0088] S3024, calculating the weighted average of RGB to obtain a specified RGB value of a certain value.

[0089] In the embodiment of the present invention, the average value algorithm is a weighted average value algorithm, which is mainly used to deal with the situation where there are people in the car who prefer the same color. For example, when there are four people in the car, two of them like the same color, then the weight of the corresponding color when calculating the RGB value is 2. Of course, this is just a conventional method, and this embodiment focuses on the importance of the driver, so the driver's weight is improved. The above scenario is still used, in which the weight distribution is 2, 1, 1. When the driver corresponds to 1, it is necessary to improve the driver's weight to highlight the importance of the driver. Therefore, the re-assignment method will be used to make the weight distribution become 3, 2, 1, so that the final RGB value is based on the driver as the main reference.

[0090] like Figure 5 As shown, as a preferred embodiment of the present invention, the control method of the vehicle-mounted atmosphere light also includes:

[0091] S501, when the interior ambient light of the vehicle rotates colors according to the lighting control instruction, the rotation of the ambient light is recorded in chronological order to obtain lighting change data;

[0092] S502, uploading the human body feature data collected in real time by the sensor equipment and image acquisition equipment installed in the vehicle;

[0093] S503, aligning the light transformation data with the human body feature data in time series and comparing the two;

[0094] S504, generating a lighting adjustment instruction based on the comparison result and transmitting it to the central control system of the vehicle, so that when the interior ambient light rotates in color, the color of the ambient light can be determined according to the facial expressions and vital signs data of the crew members.

[0095] In the embodiment of the present invention, it is explained in the foregoing that the specified color information does not represent one color, so the atmosphere light needs to be displayed in rotation. Of course, although this situation will make the atmosphere light more flexible, it will also trigger the problem of aesthetic fatigue. Therefore, it is necessary to record the light rotation to obtain the light change data. At the same time, it is also very easy to judge people's emotions through face recognition in the prior art. The human feature data includes facial data and body feature data. The facial data is the facial expression features of the occupants in the car. The reaction of the occupants to the color of the lamp can be judged through the above-mentioned facial feature data. After the light change data and the human feature data are aligned in time, it can be sent that the occupants in the car have the best reception of a certain color light at a certain moment. Of course, because there may be multiple occupants in the car, the method of taking the maximum value at the same time can be adopted.

[0096] like Figure 6 As shown, an embodiment of the present invention further provides a control system for a vehicle-mounted ambient light, the system comprising:

[0097] The image processing module 100 is used to obtain image data about the occupants in the vehicle through an image acquisition device arranged in the vehicle, and obtain basic information about the occupants in the vehicle according to the image data;

[0098] A color prediction module 200 is used to input basic information into a trained prediction model to obtain preference information of the occupants in the vehicle, wherein the preference information is the color preference of each occupant in the vehicle;

[0099] An algorithm processing module 300 uses an algorithm to obtain specified color information according to the preference information, wherein the specified color information includes a plurality of colors determined by RGB values;

[0100] The lighting control module 400 is used to generate lighting control instructions according to the specified color information through the cloud service and send them to the central control system of the vehicle, so that the interior ambient light can be adjusted according to the age and gender distribution of the occupants in the vehicle.

[0101] In the embodiment of the present invention, when the present invention controls the ambient light in the car, it will make adaptive adjustments according to the situation of the passengers in the car. First, the image of the member is obtained by using an image acquisition device, and then the age and gender of the member in the car, that is, the basic information, is analyzed, so that the color preferences of the members can be analyzed by using a prediction model, and then the most suitable color for the current situation is calculated by using an algorithm, so that the ambient light can be adjusted according to the situation. In summary, the present invention uses a scientific algorithm to adjust the ambient light according to the passengers in the car, and can also continuously and automatically adjust the ambient light, eliminating the trouble of the car owner to choose, realizing the flexibility of the ambient light, and effectively increasing the freshness of driving.

[0102] like Figure 7 As shown, as a preferred embodiment of the present invention, the image processing module 100 includes:

[0103] A face capture unit 101 is used to capture and identify faces using computer vision according to the obtained image data, and to number the occupants of the vehicle based on the positions of the faces in the images;

[0104] A feature extraction unit 102, used to extract features of the face with reference to the serial number to obtain feature data, wherein the feature data corresponds to the serial number one by one;

[0105] A face recognition unit 103 is used to input feature data into two pre-trained deep learning models to obtain age information and gender information respectively;

[0106] The information integration unit 104 is used to integrate the age information, gender information and member number to obtain basic information of the members in the car.

[0107] like Figure 8 As shown, as a preferred embodiment of the present invention, the algorithm processing module 300 includes:

[0108] An assignment unit 301 performs RGB assignment based on the preference information to obtain RGB values ​​corresponding to the members in the car;

[0109] An average value calculation unit 302 processes and rounds the RGB value using an average value algorithm to obtain a specified RGB value, where the specified RGB value corresponds to a color;

[0110] The RGB value selection unit 303 selects a plurality of RGB values ​​to be selected according to the specified RGB value by adopting an up-and-down floating value selection method, so as to select a plurality of colors with the same hue as the color corresponding to the specified RGB value;

[0111] The color integration unit 304 is used to integrate the specified RGB value and multiple candidate RGB values ​​to obtain the specified color information.

[0112] like Fig. 9 As shown, as a preferred embodiment of the present invention, the control system of the vehicle-mounted ambient light further includes a light determination module 500, and the light determination module 500 includes:

[0113] The light recording unit 501 is used to record the rotation of the atmosphere light in chronological order to obtain light change data when the interior atmosphere light rotates colors according to the light control instruction;

[0114] The feature collection unit 502 is used to upload the human feature data collected in real time through the sensor equipment and image collection equipment arranged in the vehicle;

[0115] A data comparison unit 503, used to align the light transformation data with the human body feature data in time series and compare the two;

[0116] The lighting secondary determination unit 504 generates a lighting adjustment instruction based on the comparison result and transmits it to the central control system of the vehicle, so that when the interior ambient light rotates in color, the color of the ambient light can be determined according to the facial expressions and vital signs data of the members.

[0117] The above only describes in detail the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0118] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0119] Members of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0120] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A method for controlling a vehicle ambient light, characterized in that: The method comprises the following steps: Acquire image data about the occupants in the vehicle through an image acquisition device arranged in the vehicle, and obtain basic information about the occupants in the vehicle based on the image data; Inputting the basic information into the trained prediction model to obtain the preference information of the occupants in the vehicle, wherein the preference information is the color preference of each occupant in the vehicle; Obtaining designated color information according to the preference information using an algorithm, wherein the designated color information includes a plurality of colors determined by RGB values; Through cloud services, lighting control instructions are generated according to the specified color information and sent to the vehicle's central control system, so that the interior ambient lighting can be adjusted according to the age and gender distribution of the car occupants.

2. The method for controlling the vehicle ambient light according to claim 1, characterized in that: The step of obtaining basic information of the occupants in the vehicle according to the image data specifically includes: Using computer vision to capture and recognize human faces based on the image data obtained, and numbering the occupants of the vehicle based on the positions of the human faces in the images; Extracting features of the face with reference to the serial number to obtain feature data, wherein the feature data corresponds to the serial number one by one; Input the feature data into two pre-trained deep learning models to obtain age information and gender information respectively; The age information, gender information and member number are integrated to obtain basic information of the members in the car.

3. The method for controlling the vehicle ambient light according to claim 1, characterized in that: The step of obtaining the specified color information according to the preference information by using an algorithm specifically includes: Assigning RGB values ​​based on the preference information to obtain RGB values ​​corresponding to the members in the car; The RGB value is processed and rounded using an average value algorithm to obtain a specified RGB value, where the specified RGB value corresponds to a color; A floating value method is used to select multiple RGB values ​​according to the specified RGB value, so as to select multiple colors with the same hue as the color corresponding to the specified RGB value; The designated RGB value and a plurality of candidate RGB values ​​are integrated to obtain the designated color information.

4. The method for controlling the vehicle ambient light according to claim 3, characterized in that: The step of using the average value algorithm to process and round the RGB value to obtain the specified RGB value specifically includes: When the RGB values ​​are obtained, weights are assigned according to the distribution of the RGB values, and when the RGB values ​​are repeated, weights are assigned according to their number; The weight values ​​corresponding to the RGB values ​​are compared with each other to determine the maximum value among the weight values; When the weight value corresponding to the driver's RGB value is not the maximum value, re-assign the weight value according to the maximum value of the weight value, and the difference between the weight value of the driver's RGB value and the maximum value of the weight value is 1; Calculates the weighted average of RGB to get the specified RGB value of the determined value.

5. The method for controlling the vehicle ambient light according to claim 1, characterized in that: The method further comprises: When the interior ambient light of the vehicle rotates colors according to the lighting control instruction, the rotation of the ambient light is recorded in chronological order to obtain the lighting change data; The human body feature data is collected in real time through the sensor equipment and image acquisition equipment installed in the car and uploaded; Align the lighting transformation data with the human feature data in time series and compare the two; Based on the comparison results, a lighting adjustment instruction is generated and sent to the vehicle's central control system, so that when the interior ambient light rotates in color, the color of the ambient light can be determined based on the member's facial expressions and vital signs data.

6. The method for controlling the vehicle ambient light according to claim 1, characterized in that: The human feature data includes facial data and body feature data, and the facial data is the facial expression features of the occupants in the vehicle.

7. A control system for a vehicle-mounted ambient light, characterized in that: The system comprises: An image processing module, used to obtain image data about the occupants in the vehicle through an image acquisition device arranged in the vehicle, and obtain basic information about the occupants in the vehicle based on the image data; A color prediction module is used to input basic information into a trained prediction model to obtain preference information of the occupants in the vehicle, wherein the preference information is the color preference of each occupant in the vehicle; an algorithm processing module, using an algorithm to obtain designated color information according to the preference information, wherein the designated color information includes a plurality of colors determined by RGB values; The lighting control module is used to generate lighting control instructions based on the specified color information through cloud services and send them to the vehicle's central control system, so that the interior ambient lighting can be adjusted according to the age and gender distribution of the vehicle occupants.

8. The control system of the vehicle ambient light according to claim 7, characterized in that: The image processing module comprises: A face capture unit, used to capture and identify faces using computer vision based on the acquired image data, and to number the occupants of the vehicle based on the positions of the faces in the images; A feature extraction unit, used to extract features of the face with reference to the serial number to obtain feature data, wherein the feature data corresponds to the serial number one by one; A face recognition unit, used to input feature data into two pre-trained deep learning models to obtain age information and gender information respectively; The information integration unit is used to integrate the age information, gender information and member number to obtain basic information of the members in the car.

9. The control system of the vehicle ambient light according to claim 7, characterized in that: The algorithm processing module includes: an assignment unit, which performs RGB assignment based on the preference information to obtain RGB values ​​corresponding to the members in the vehicle; an average value calculation unit, which uses an average value algorithm to process and round the RGB value to obtain a specified RGB value, where the specified RGB value corresponds to a color; The RGB value candidate unit uses an up-and-down floating value method to select multiple candidate RGB values ​​according to the specified RGB value, and is used to select multiple colors with the same hue as the color corresponding to the specified RGB value; The color integration unit is used to integrate the specified RGB value and multiple candidate RGB values ​​to obtain the specified color information.

10. The control system of the vehicle ambient light according to claim 7, characterized in that: The system further includes a light determination module, which includes: A light recording unit is used to record the rotation of the ambient light in chronological order to obtain light change data when the ambient light in the vehicle rotates its color according to the light control instruction; A feature collection unit is used to upload the human feature data collected in real time through the sensor equipment and image collection equipment installed in the vehicle; A data comparison unit, used to align the light transformation data with the human feature data in time series and compare the two; The lighting secondary determination unit generates lighting adjustment instructions based on the comparison results and transmits them to the vehicle's central control system, so that when the interior ambient light rotates in color, the color of the ambient light can be determined based on the member's facial expressions and vital signs data.

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