CN114022651A - Vehicle interior makeup detection method and device, vehicle and storage medium - Google Patents
Vehicle interior makeup detection method and device, vehicle and storage medium Download PDFInfo
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- CN114022651A CN114022651A CN202111422071.7A CN202111422071A CN114022651A CN 114022651 A CN114022651 A CN 114022651A CN 202111422071 A CN202111422071 A CN 202111422071A CN 114022651 A CN114022651 A CN 114022651A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
Abstract
The application discloses a vehicle interior makeup detection method and device, a vehicle and a storage medium. The method comprises the following steps: acquiring the intensity of ambient light inside a vehicle; if the ambient light intensity is smaller than the preset light intensity threshold, controlling the light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold; acquiring a face image of a user, which is acquired by a first camera when the ambient light intensity is greater than a preset light intensity threshold; and if the makeup of the user is determined to not reach the preset condition according to the face image, outputting makeup-making prompt information for prompting the user to make up. The makeup method and the makeup system have the advantages that the ambient light intensity is ensured to be larger than the preset light intensity threshold value, the face image of the user under the ambient light intensity condition is collected by the camera, the makeup of the user is detected, and the user is prompted to make up when the makeup of the user is determined not to reach the preset condition, so that the user can make up under the condition of not being influenced by the ambient light intensity, the time of the user is saved, and meanwhile, the user has perfect makeup.
Description
Technical Field
The application relates to the technical field of information processing, in particular to a vehicle interior makeup detection method and device, a vehicle and a storage medium.
Background
Constantly maintaining beauty is one of important parts in the life of women of all ages, and the makeup of women has different requirements on conditions such as ambient light, temperature, social scenes and the like. In the related art, a method for detecting makeup of a user and guiding the user to make up through a camera is proposed, but due to the difference of makeup environments of the user, the technology has the problems that the effect detection of the makeup is not accurate, so that the makeup effect of the user is affected and the makeup time of the user is wasted.
Disclosure of Invention
The invention provides a method and a device for detecting vehicle interior makeup, a vehicle and a storage medium, which aim to solve the problems.
In a first aspect, an embodiment of the present application provides a vehicle interior makeup detection method, including: acquiring the intensity of ambient light inside a vehicle; if the ambient light intensity is smaller than the preset light intensity threshold, controlling a light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold; acquiring a face image of a user, which is acquired by a first camera when the ambient light intensity is greater than a preset light intensity threshold; and if the makeup of the user does not reach the preset condition according to the face image, outputting makeup adding prompt information for prompting the user to make up. .
In a second aspect, an embodiment of the present application further provides a vehicle interior makeup detection device, including: the device comprises a light intensity acquisition unit, a light supplement unit, a face image acquisition unit and a makeup supplement prompt unit. The light intensity acquisition unit is used for acquiring the ambient light intensity inside the vehicle; the light supplementing unit is used for controlling the light supplementing lamp to be turned on if the ambient light intensity is smaller than a preset light intensity threshold value, so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold value; the face image acquisition unit is used for acquiring a face image of a user acquired by the first camera when the ambient light intensity is greater than a preset light intensity threshold; and the makeup adding prompt unit is used for outputting makeup adding prompt information for prompting the user to make up if the makeup of the user does not reach the preset condition according to the face image.
In a third aspect, an embodiment of the present application further provides a vehicle, including: the device comprises a fill-in light, a light intensity detector, a first camera, one or more processors, a memory and one or more application programs. The light intensity detector is used for detecting the ambient light intensity in the environment where the light intensity detector is located; the first camera is used for collecting a face image; one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to execute to implement the method of the first aspect as described above.
In a fourth aspect, embodiments of the present application further provide a computer-readable storage medium, in which a program code is stored, where the program code is called by a processor to execute the method according to the first aspect.
According to the technical scheme provided by the invention, the ambient light intensity in the vehicle is obtained; if the ambient light intensity is smaller than the preset light intensity threshold, controlling a light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold; acquiring a face image of a user, which is acquired by a first camera when the ambient light intensity is greater than a preset light intensity threshold; and if the makeup of the user does not reach the preset condition according to the face image, outputting makeup adding prompt information for prompting the user to make up. Therefore, by adopting the method, the light is supplemented when the ambient light intensity is smaller than the preset light intensity threshold value by acquiring the ambient light intensity inside the vehicle, the face image collected by the first camera and used for detecting the makeup of the user is ensured to be under the ambient light intensity condition larger than the preset light intensity threshold value, and the user is prompted to make up when the makeup of the user is determined not to reach the preset condition, so that the user can make up under the condition of not being influenced by the ambient light intensity, the time of the user is saved, and the user can have perfect makeup.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart illustrating a method for checking a make-up in a vehicle interior according to another embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a method for checking make-up in a vehicle interior according to another embodiment of the present application;
FIG. 3 is a schematic flow chart illustrating a method for checking make-up in a vehicle interior according to another embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating a method for checking make-up in a vehicle interior according to another embodiment of the present application;
fig. 5 is a schematic structural view illustrating a makeup detection device for a vehicle interior according to an embodiment of the present application;
fig. 6 is a block diagram showing a structure of a vehicle according to an embodiment of the present application;
fig. 7 shows a block diagram of a computer-readable storage medium according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the acceleration of the life rhythm of people and frequent overtime, the time for making up is less and less, and sometimes people want to sleep for a while in the morning, so the time for making up in the morning is obviously shortened, and many times, people can make up or make up in a vehicle when the people are not in time to make up at home.
The inventor finds that, in the related art, there is a control method for detecting the makeup of the user and guiding the user to make up through a camera, but the problem that when the user makes up in the driving process (such as passing through places such as an underground garage, a tunnel and a tree shadow area) cannot be solved, due to the change of light, when the user makes up through the detection of the makeup of the camera, the judgment on the makeup effect is inaccurate, the makeup effect of the user is influenced, and the makeup time of the user is wasted.
In order to alleviate the above problems, the present application proposes a vehicle interior makeup detection method, apparatus, vehicle, and storage medium. By obtaining the ambient light intensity inside the vehicle, light supplement is performed when the ambient light intensity is smaller than a preset light intensity threshold value, it is ensured that a face image collected through a first camera and used for detecting the makeup of a user is under the ambient light intensity condition larger than the preset light intensity threshold value, and when it is determined that the makeup of the user does not reach a preset condition, the user is prompted to make up, so that the user can make up under the condition that the user is not influenced by the ambient light intensity, the user time is saved, and the user can have perfect makeup.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings. Referring to fig. 1, an embodiment of the present application provides a method for detecting a make-up in a vehicle, which is applicable to a vehicle equipped with a camera, a light intensity detector, a central processing unit and a fill-in light, and is not limited herein, and can be specifically controlled and executed by an application program installed in the vehicle. The makeup detection method may include steps S110 to S140.
Step S110: ambient light intensity inside the vehicle is acquired.
In an embodiment of the present application, before obtaining the ambient light intensity inside the vehicle, the method further includes: and opening the intelligent makeup supplementing function.
In some embodiments, the intelligent make-up function of the vehicle is actively turned on by the user, and specifically, the vehicle receives an instruction of turning on the intelligent make-up function by the user, which may be a voice instruction of turning on the intelligent make-up function by the user, or an instruction of turning on the intelligent make-up function by the user through touch/key control, or an instruction of turning on the intelligent make-up function by the user is obtained from an associated device by using a wireless communication technology/SPI (serial peripheral interface). After the intelligent make-up function is started, the vehicle can prompt (such as voice prompt, indicator light prompt and generation of a prompt interface for starting the intelligent make-up function) that the user starts the intelligent make-up function.
In this application embodiment, after the intelligent makeup function is opened to the vehicle, obtain the inside ambient light intensity of vehicle. The method for acquiring the intensity of the ambient light inside the vehicle may be to acquire the intensity of the ambient light by using a photosensitive sensor, or may be to acquire the intensity of the ambient light inside the vehicle by using an optical intensity detector, or may be to acquire the intensity of the ambient light inside the vehicle based on a neural network, which is not limited herein.
Illustratively, the ambient light intensity inside a vehicle is utilized as a photosensitive sensor, wherein the photosensitive sensor can be a photosensitive resistor type/photosensitive diode type/photovoltaic cell type/thermal effect infrared light type, the working principle of the photosensitive sensor is to convert a light signal into an electric signal by utilizing a photosensitive element, and the photosensitive sensor has the characteristics of non-contact, quick response, reliable performance and the like. For example, the light sensor is used for acquiring the intensity of ambient light, the light sensor is developed based on the photoelectric effect principle of a semiconductor, the intensity of the ambient light around the light sensor can be detected, and the difference of light on the surfaces of different colors can be detected.
In some embodiments, when the method for detecting make-up in a vehicle provided with a cosmetic mirror is applied to a vehicle, the obtaining of the intensity of the ambient light in the vehicle interior may be obtaining the intensity of the ambient light in the vehicle interior when it is detected that the cosmetic mirror is used.
Specifically, the mode of detecting that the cosmetic mirror is used may be detecting whether the cosmetic mirror is used by using a relevant sensor to detect light of a mirror surface of the cosmetic mirror, a position of the cosmetic mirror, a temperature of the cosmetic mirror, whether the cosmetic mirror is unfolded, and the like, or detecting whether the cosmetic mirror is used by using a camera to collect an image in the cosmetic mirror. For example, whether the cosmetic mirror is used is detected by the position sensor, and when the position sensor detects that the position of the cosmetic mirror is changed, the cosmetic mirror is determined to be used. It should be understood that the cosmetic mirror may be a mirror, a display, or other device that assists the user in making up that may present the user with makeup.
In some embodiments, when it is detected that the cosmetic mirror is used, an image in the cosmetic mirror is acquired, and if the image in the cosmetic mirror does not include a complete face image, a seat position of a user corresponding to the face image is adjusted, so that the image in the cosmetic mirror acquired after the seat position is adjusted includes the complete face image.
As an embodiment, the vehicle includes a display, a first camera is disposed on the display, the display can show the makeup of a user to the user, when it is detected that the display is used, the first camera collects an image in the display, and if the image in the display does not include a complete face image, the position of a seat opposite to the display is adjusted, so that the image in the display collected by the first camera includes the complete face image after the position of the seat is adjusted.
As another embodiment, the vehicle further comprises a second camera, wherein the second camera is arranged at the position of the headrest of the vehicle seat and is used for collecting images in the cosmetic mirror; when the cosmetic mirror is detected to be used, acquiring an image in the cosmetic mirror acquired by the second camera; if the images in the cosmetic mirror collected by the second camera do not include complete face images, adjusting the position of the seat where the second camera is located, so that after the position of the seat is adjusted, the images in the cosmetic mirror collected by the second camera include complete face images.
Step S120: and if the ambient light intensity is smaller than the preset light intensity threshold, controlling the light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold.
In this embodiment of the application, the preset light intensity threshold may be pre-stored in a storage unit of the vehicle, may also be obtained from an associated cloud/device through a wireless communication technology, and may also be obtained from an associated device through an SPI; the magnitude of the preset light intensity threshold value can be obtained by third-party experimental data. For example, the preset light intensity threshold value of 900lux is stored in a storage unit of the vehicle in advance. It should be understood that the preset light intensity threshold may be actually varied according to the user's needs.
The light supplement lamp can be a cosmetic mirror lamp, a camera light supplement lamp and other lighting devices on the vehicle, the light supplement lamp can be one lamp or a plurality of lamps, and the position of the vehicle can be set according to the requirements of users. It should be noted that, after the light supplement lamp is turned on, it can be ensured that the intensity of the ambient light after light supplement is greater than the preset light intensity threshold. If, the light filling lamp is the vanity mirror lamp, the vanity mirror lamp adjustable luminance, its main effect is when ambient light intensity is less than preset ambient light intensity provides supplementary light to obtain the image that satisfies user's demand. The cosmetic mirror lamp can adopt an LED as a luminous body, and adopts a rechargeable battery for power supply or adopts an external commercial power mode for power supply.
Step S130: and acquiring a face image of the user, which is acquired by the first camera when the ambient light intensity is greater than a preset light intensity threshold value.
As an embodiment, when the acquired ambient light intensity is greater than a preset light intensity threshold, the first camera acquires a face image of the user, and the vehicle acquires basic facial information of the user acquired by the camera and recorded by the first camera sensor, so as to acquire the face image acquired by the first camera.
As another embodiment, when the obtained ambient light intensity is less than a preset light intensity threshold, the light supplement lamp is controlled to be turned on, when the ambient light intensity after light supplement is greater than the preset light intensity threshold, the first camera collects a face image of the user, and the vehicle obtains basic facial information of the user, which is recorded by the first camera sensor and collected by the camera, so that the face image collected by the first camera is obtained.
It should be noted that when the face image of the user acquired by the first camera is acquired when the ambient light intensity is greater than the preset light intensity threshold, the camera shooting range of the first camera can ensure that the full-face image of the user is acquired. For example, the first camera may be arranged on the upper part of the a-pillar or on the base of the interior rear view mirror of the vehicle to ensure that a full face image of the passenger is obtained.
Step S140: and if the makeup of the user does not reach the preset condition according to the face image, outputting makeup adding prompt information for prompting the user to make up.
In this embodiment of the application, the manner of determining whether the makeup of the user meets the predetermined condition according to the face image may be that, after the first camera is used to obtain the full-face image of the user, the AI processor is used to evaluate the makeup of the full-face image, an evaluation result is compared with a predetermined condition, when the evaluation result meets the predetermined condition, it is determined that the makeup of the user meets the predetermined condition, otherwise, it is determined that the makeup of the user does not meet the predetermined condition.
Wherein the makeup of the face may include: make-up of face such as facial blemish, evenness of skin color, eyebrow shape, and lipstick luster. It should be noted that, the AI processor is used to evaluate the makeup of the face of the whole-face image, where the evaluated makeup dimension may be a basic dimension for evaluating the makeup, or may be expanded to more dimensions, such as shadow, hairline, blush, etc., and may be set according to the user's needs. The evaluation result may be a score of the makeup of the face (e.g., a score of facial blemishes, a score of skin color evenness, a score of eyebrows, a score of lipstick gloss). The predetermined condition may be that the evaluation score for the makeup of the face is greater than a standard evaluation score. The standard evaluation score may be pre-stored in a storage unit of the vehicle, may be obtained from an associated cloud/device through a wireless communication technology, or may be obtained from an associated device through an SPI, and it should be noted that the predetermined condition may be adjusted and customized according to a user requirement.
In the embodiment of the application, the outputting of the makeup adding prompt information for prompting the user to make up may be that the vehicle directly outputs a voice prompt, plays a video, generates a text display interface, and the like to prompt the user to make up, or that the vehicle outputs prompt information such as a voice prompt, a video play, generates a text display interface, and the like through a wireless communication technology to be transmitted to associated equipment, and the associated equipment outputs the makeup adding prompt information for prompting the user to make up. The makeup prompting information for prompting the user to make up may include at least one of a name of a part to be made up and a color of a cosmetic required for makeup. Wherein, the name of the part to be made up can be eyebrow, eyelash, lip, eye make-up and other parts; the color of the makeup cosmetic may be eyebrow pencil color, blush color, lipstick color, eye shadow color, etc. If, the makeup prompting information for prompting the user to make up is voice information: lip, lipstick, bright red.
In some embodiments, if it is determined that the makeup of the user reaches a predetermined condition according to the face image, outputting information for prompting completion of makeup of the user, where the outputting of the information for prompting completion of makeup of the user may be that the vehicle directly outputs a voice prompt, plays a video, generates a text display interface, and the like to prompt completion of makeup of the user, or that the vehicle outputs prompt information such as a voice prompt, a video play, a text display interface, and the like to a related device through a wireless communication technology, and the related device outputs the prompt to prompt completion of makeup of the user.
Illustratively, the vehicle comprises a sun visor vanity mirror, a vanity mirror lamp, a central processing unit, a light sensor, a first camera and a display screen, and the memory unit of the vehicle stores a preset light intensity threshold of 900lux, predetermined conditions for a standard score of 80 points for makeup of the face (facial blemish, evenness of skin color, eyebrow shape, gloss of lipstick). After a user starts an intelligent makeup function, a sun visor cosmetic mirror is opened for makeup, a central processing unit acquires ambient light intensity X in a vehicle from a light sensor in the vehicle, when X is larger than 900lux or when X is smaller than 900lux and a lamp of the cosmetic mirror is turned on, the obtained ambient light intensity Y is larger than 900lux, a first camera continuously collects face images of the user, the central processing unit continuously performs AI processing on the face images acquired by the first camera, an AI processor scores face makeup (facial flaws, skin color uniformity, eyebrow shapes and lipstick gloss) of the face images, a display screen displays the score condition, and when the facial flaw score is larger than 80, the face flaw OK is displayed; when the skin color evenness score is larger than 80 points, the skin color evenness is OK; when the eyebrow shape score is larger than 80 points, displaying the eyebrow shape OK; when the lipstick gloss score is larger than 80 points, displaying lipstick gloss OK, and reminding the user of completing makeup by voice; if the score of the face makeup (facial blemish, skin color uniformity, eyebrow shape and lipstick luster) is less than or equal to 80 points, the user is reminded to make up, the score condition of the specific face makeup below 80 points is displayed on the large screen, and the user is reminded of the specific makeup part through voice.
In some embodiments, the vehicle includes a vanity mirror, and a vanity mirror light is disposed on the vanity mirror, the vanity mirror light having an adjustable brightness; when a user utilizes the cosmetic mirror to assist makeup, the brightness of a cosmetic mirror lamp arranged on the cosmetic mirror can be adjusted according to the ambient light intensity of the user during makeup and the preset light intensity threshold value. Illustratively, when the preset light intensity threshold is set to 900lux, when the acquired ambient light intensity is X, and when X is greater than 900lux, the cosmetic mirror lamp is not lighted; and when X is less than 900lux, lighting the cosmetic mirror lamp for light supplement, and adjusting the brightness of the cosmetic mirror lamp to be Y (Y is 900-X).
According to the method for detecting the makeup in the vehicle, the intensity of the ambient light in the vehicle is obtained; if the ambient light intensity is smaller than the preset light intensity threshold, controlling a light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold; acquiring a face image of a user, which is acquired by a first camera when the ambient light intensity is greater than a preset light intensity threshold; and if the makeup of the user does not reach the preset condition according to the face image, outputting makeup adding prompt information for prompting the user to make up. By adopting the method, the face image of the user is collected by the first camera under the condition that the intensity of the ambient light in the vehicle is greater than the preset light intensity threshold value, the makeup of the face image is detected, and the user is prompted to make up when the makeup does not reach the preset condition, so that the user can make up under the condition that the user is not influenced by the intensity of the ambient light in the vehicle, the time of the user is saved, and the user has perfect makeup.
Referring to fig. 2, another embodiment of the present application provides a method for checking a make-up of a vehicle interior, which includes steps S210 to S250.
Step S210: ambient light intensity inside the vehicle is acquired.
Step S220: and if the ambient light intensity is smaller than the preset light intensity threshold, controlling the light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold.
Step S230: and acquiring a face image of the user, which is acquired by the first camera when the ambient light intensity is greater than a preset light intensity threshold value.
For the specific implementation process of step S210 to step S230, reference may be made to the specific description of step S110 to step S130, which is not described herein again.
Step S240: and carrying out similarity calculation on the face image and a preset image to obtain a similarity value.
In this embodiment of the application, the similarity value obtained by calculating the similarity between the face image and the preset image may be obtained by segmenting the face image to obtain a lip image, an eyebrow image, an eye image, and a face image, where the face image does not include lips, eyebrows, and eyes. The method comprises the steps of calculating the similarity of the lip image and a preset lip image to obtain a lip similarity value, calculating the similarity of the eyebrow image and the preset eyebrow image to obtain an eyebrow similarity value, calculating the similarity of the eye image and the preset eye image to obtain an eye similarity value, and calculating the face image and the preset face image to obtain a face similarity value.
The face image may be segmented by using image processing methods such as a threshold segmentation method, a region segmentation method, an edge segmentation method, and a histogram method. For example, the facial image is segmented by using a k-means algorithm (a clustering-based edge detection method), image clustering, boundary tracking and face positioning are performed, and finally lip images, eyebrow images, eye images and face images in the facial image are obtained, wherein the face images do not include lips, eyebrows and eyes.
In the embodiment of the application, the preset lip image, the preset eyebrow image, the preset eye image and the preset face image may be obtained through third-party experimental data; the information may be pre-stored in a storage unit of the vehicle, obtained from an associated cloud/device through a wireless communication technology, or obtained from an associated device through the SPI.
The similarity between the face image and the preset image may be calculated by using a characteristic point detection algorithm such as a SURF algorithm, a Susan operator algorithm, a RANSC algorithm, a hash algorithm, etc., for example, a comparison array of gray pixels between the face image and the preset image is obtained by using the hash algorithm, a hamming distance between the face image and the preset image is obtained, and the similarity between the two images is calculated by using the hamming distance.
Step S250: and if the similarity value is smaller than a preset similarity threshold value, the makeup of the user does not reach a preset condition, and makeup supplement prompt information for prompting the user to make up is output.
In the embodiment of the present application, the preset similarity threshold may be obtained through a third party data experiment, or may be set by a user; the information may be pre-stored in a storage unit of the vehicle, obtained from an associated cloud/device through a wireless communication technology, or obtained from an associated device through the SPI.
It should be noted that if the similarity value is smaller than the preset similarity threshold value, including if there is a target similarity value smaller than the corresponding preset similarity threshold value in the lip similarity value, the eyebrow similarity value, the eye similarity value, and the face similarity value, the makeup of the user does not reach the predetermined condition. The target similarity value is a similarity value smaller than a preset similarity threshold value.
Illustratively, the preset similarity threshold obtained through the third party data experiment includes: the preset similarity threshold of the lips is 80%, the preset similarity threshold of the eyebrows is 80%, the preset similarity threshold of the eyes is 80%, and the preset similarity threshold of the face is 80%, the preset similarity threshold of the face is stored in a storage unit of the terminal device in advance, similarity values obtained by calculating the similarity values of the face image and the preset image are 76% (smaller than 80%) of the lip similarity value, 86% (larger than 80%) of the eyebrows similarity value, 82% (larger than 80%) of the eye similarity value, and 83% (larger than 80%) of the face similarity value, and because the 76% (smaller than 80%) of the lip similarity value is smaller than the corresponding preset similarity threshold of the lips, the makeup of the user does not reach the preset condition.
For a specific implementation process of the makeup prompting information for prompting the user to make up in step S250, reference may be made to the foregoing specific description of step S140, which is not described in detail here. It should be noted that, in the embodiment of the present application, the makeup adding prompt information may further include a display of a similarity value obtained by calculating a similarity value between the face image and a preset image.
According to the method for detecting the makeup in the vehicle, the intensity of the ambient light in the vehicle is obtained; if the ambient light intensity is smaller than the preset light intensity threshold, controlling a light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold; acquiring a face image of a user, which is acquired by a first camera when the ambient light intensity is greater than a preset light intensity threshold; carrying out similarity calculation on the face image and a preset image to obtain a similarity value; if the similarity value is smaller than a preset similarity threshold value, the makeup of the user does not reach a preset condition; and outputting makeup adding prompt information for prompting the user to make up. By adopting the method, the face image collected by the first camera and used for detecting the makeup of the user is ensured to be under the condition that the intensity of the ambient light in the vehicle is greater than the preset light intensity threshold value, whether the makeup of the user reaches the preset condition is determined by comparing the similarity between the face image and the preset image, and meanwhile, when the makeup of the user does not reach the preset condition, the user is prompted to make up, so that the user is not influenced by the intensity of the ambient light in the vehicle to make up, the time of the user is saved, and the user has perfect makeup.
Referring to fig. 3, another embodiment of the present application provides a method for checking a make-up of a vehicle interior, including steps S310 to S360.
Step S310: ambient light intensity inside the vehicle is acquired.
Step S320: and if the ambient light intensity is smaller than the preset light intensity threshold, controlling the light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold.
Step S330: and acquiring a face image of the user, which is acquired by the first camera when the ambient light intensity is greater than a preset light intensity threshold value.
For the specific implementation process of step S310 to step S330, reference may be made to the detailed description of step S110 to step S130, which is not repeated herein.
Step S340: and inputting the face image into a preset makeup detection model to obtain makeup information corresponding to the face image.
In the embodiment of the application, the preset makeup detection model may be pre-stored in a storage unit of the vehicle, may be obtained from a cloud or a device associated with the vehicle through a wireless communication technology, or may be obtained from the associated device by using an SPI; the preset makeup detection model can be obtained through third-party experimental data training, and can be a model capable of image detection, such as an AlexNet model, a VGG19 (FAST neural network) model, a ResNet _152 (residual error network) model, an Inception V4 model, a DenseNet model, an OverFeat model, an R-CNN model, an SPP-net model, a FAST R-CNN model, an R-FCN model, a YOLO model and the like. For example, a Fast R-CNN model is used as a preset makeup detection model to detect a face image, and the detection mainly comprises the following steps: inputting the whole face image into the model, and obtaining a characteristic layer of the image by using a CNN (convolutional neural network); extracting candidate frames from an original image by using a Selective Search method and the like, and projecting the candidate frames to a final feature layer one by one; carrying out RoI Pooling operation on each candidate region candidate frame on the feature layer to obtain feature representation with fixed size; and then, through two full-connected layers, respectively performing multi-classification target identification by using a Softmax (logistic regression model), and finely adjusting the position and the size of a frame by using the regression model to obtain the corresponding relation between the face image and the makeup information, such as the eyebrow shape, the concentration of the eye shadow color, the depth of the lipstick color, the concentration of the cheek color and the like of eyebrows in the face image.
Step S350: determining whether the makeup of the user reaches a predetermined condition according to the makeup information.
In the embodiment of the present application, the predetermined condition may be stored in a storage unit of the vehicle in advance, may be obtained from a cloud or a device associated with the vehicle through a wireless communication technology, and may be obtained from the associated device by using the SPI. The predetermined conditions are obtained through third-party experimental data training, and the predetermined conditions can comprise standard eyebrow shapes of eyebrows, standard concentration of eye shadow colors, standard depth of lipstick colors, standard concentration of cheek color and the like.
The determining whether the makeup of the user reaches the preset condition according to the makeup information may be comparing a corresponding relationship between a face image and the makeup information obtained by the preset makeup detection model with the preset condition, and determining that the makeup of the user reaches the preset condition if the makeup information of the face image meets the preset condition; otherwise the makeup of the user does not meet the predetermined condition. If, the predetermined conditions are: the standard concentration of eyelashes in the corresponding relationship between the face image and the makeup information is greater than or equal to 50%, the standard eyebrow shape of eyebrows in the corresponding relationship between the face image and the makeup information is a willow eyebrow, the standard concentration of color is greater than or equal to 60%, the standard color of eyeshadow in the corresponding relationship between the face image and the makeup information is a ground color and the standard concentration is 40%, the standard color of lips in the corresponding relationship between the face image and the makeup information is a positive red color and the standard concentration is 60%, and the standard color of blush in the corresponding relationship between the face image and the makeup information is a positive red color and the standard concentration is 20%, determining that the makeup of the user reaches a predetermined condition, otherwise, determining that the makeup of the user does not reach the predetermined condition. When the concentration of eyelashes in the corresponding relation between the face image and the makeup information is 80% (more than 50%), the eyebrow shape of eyebrows in the corresponding relation between the face image and the makeup information is willow eyebrows and the concentration of eyebrow color is 78% (more than 60%), the color of eyeshadow in the corresponding relation between the face image and the makeup information is ground color and the concentration is 30% (more than 40%), the color of lip color in the corresponding relation between the face image and the makeup information is positive red and the concentration is 56% (more than 60%), and the color of cheek red in the corresponding relation between the face image and the makeup information is positive red and the concentration is 28% (more than 20%) obtained through a preset makeup detection model, the makeup of the user is determined to reach a preset condition.
Step S360: and if the makeup of the user is determined to not reach the preset condition according to the makeup information, outputting makeup supplement prompt information for prompting the user to make up.
For the specific implementation process of step S360, reference may be made to the foregoing specific description of step S140, which is not described herein again. It should be noted that, in the embodiment of the present application, the outputting of the makeup prompting information for prompting the user to perform makeup may further include displaying a corresponding relationship between the face image and the makeup information.
The method for detecting the makeup in the vehicle, provided by the embodiment of the application, is used for obtaining the intensity of the ambient light in the vehicle; if the ambient light intensity is smaller than the preset light intensity threshold, controlling a light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold; acquiring a face image of a user, which is acquired by a first camera when the ambient light intensity is greater than a preset light intensity threshold; inputting the face image into a preset makeup detection model to obtain makeup information corresponding to the face image; determining whether the makeup of the user reaches a predetermined condition according to the makeup information; and if the makeup of the user is determined to not reach the preset condition according to the makeup information, outputting makeup supplement prompt information for prompting the user to make up. By adopting the method, the face image collected by the first camera and used for detecting the makeup of the user is ensured to be input into the preset makeup detection model under the condition that the intensity of the ambient light in the vehicle is greater than the preset light intensity threshold value, whether the makeup of the user reaches the preset condition is determined, and meanwhile, when the makeup of the user does not reach the preset condition, the user is prompted to make up, so that the user is not influenced by the intensity of the ambient light in the vehicle to make up, the time of the user is saved, and the user has perfect makeup.
Referring to fig. 4, another embodiment of the present application provides a method for checking a make-up in a vehicle interior, which includes steps S410 to S460.
Step S410: and acquiring the user image acquired by the first camera.
In this application embodiment, after opening intelligent makeup and make up function, user's full face is gathered to first camera, and the vehicle acquires the basic facial information of the user that first camera was gathered that the camera sensor was logged in, acquires the face image that first camera was gathered from this.
For example, when a first camera is installed on an a pillar of a vehicle for capturing images of a driver seat and a passenger seat area in the vehicle, when a user is in the driver seat/passenger seat area of the vehicle, the first camera may capture a full-face image of the user; when first camera is installed in the B post of vehicle and is used for shooing the regional image of rear seat in the vehicle, when there is the user in the rear seat region of vehicle, first camera can gather user's full face image.
Step S420: it is detected whether the user image is a female user image.
In some embodiments, the detecting whether the user image is a female user image may be detecting whether the face user image is a female user image by scanning a full image of the user image using a model such as EigenFace algorithm, FisherFace algorithm, LBPH algorithm, CNN (convolutional neural network), RNN (recurrent neural network), GAN (antagonistic generating network), and the like. For example, the FisherFace algorithm mainly uses the idea of LDA (linear projection analysis), projects male and female samples in a sample space onto a straight line passing through an origin, ensures that the distance between the samples in the projected classes on the line is minimum and the distance between the classes is maximum, thereby separating a boundary for identifying male and female, distinguishes the gender of a user image according to the boundary, obtains the user image projected onto the straight line passing through the origin when the user image is scanned by using the FisherFace algorithm, and detects whether the user image is a female user image according to the relationship between the straight line and the boundary.
Step S430: and if so, acquiring the ambient light intensity.
Step S440: and if the ambient light intensity is smaller than the preset light intensity threshold, controlling the light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold.
Step S450: and acquiring a face image of the user, which is acquired by the first camera when the ambient light intensity is greater than a preset light intensity threshold value.
Step S460: and if the makeup of the user does not reach the preset condition according to the face image, outputting makeup adding prompt information for prompting the user to make up.
For the specific implementation process of step S430 to step S460, reference may be made to the specific description of step S110 to step S140, which is not described herein again.
According to the method for detecting the makeup in the car, the user image collected by the first camera is obtained; detecting whether the user image is a female user image; if so, acquiring the intensity of the ambient light; if the ambient light intensity is smaller than the preset light intensity threshold, controlling a light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold; acquiring a face image of a user, which is acquired by a first camera when the ambient light intensity is greater than a preset light intensity threshold; and if the makeup of the user does not reach the preset condition according to the face image, outputting makeup adding prompt information for prompting the user to make up. By adopting the method, when the user is detected to be female, the face image collected by the first camera and used for detecting the makeup of the user is ensured to be under the condition that the intensity of the ambient light is greater than the preset light intensity threshold value, and when the makeup of the user is determined not to reach the preset condition, the user is prompted to make up, so that the user can make up in the vehicle without being influenced by the intensity of the ambient light, the time of the user is saved, and the user has perfect makeup.
Referring to fig. 5, there is shown a makeup inspection device for a vehicle interior according to an embodiment of the present application, the device 500 including: a light intensity obtaining unit 510, a light filling unit 520, a face image obtaining unit 530, and a makeup prompting unit 540. Specifically, the light intensity obtaining unit 510 is configured to obtain the ambient light intensity inside the vehicle; the light supplement unit 520 is configured to control a light supplement lamp to be turned on if the ambient light intensity is smaller than a preset light intensity threshold value, so that the ambient light intensity after light supplement is greater than the preset light intensity threshold value; the face image obtaining unit 530 is configured to obtain a face image of a user, which is acquired by the first camera when the ambient light intensity is greater than a preset light intensity threshold; the makeup prompting unit 540 is configured to output makeup prompting information for prompting the user to perform makeup if it is determined that the makeup of the user does not meet a predetermined condition according to the face image.
In some embodiments, the light intensity obtaining unit 510 includes a light sensor, and obtains the ambient light intensity by using the light sensor when it is detected that the user uses the cosmetic mirror after the user turns on the intelligent makeup function. The light supplement unit 520 includes a cosmetic mirror lamp, and if the obtained ambient light intensity is less than the preset light intensity threshold, the cosmetic mirror lamp is controlled to be turned on to supplement light, so that the ambient light intensity after light supplement is greater than the preset light intensity threshold; when the user makes up, the brightness of the cosmetic mirror lamp arranged on the cosmetic mirror is adjusted according to the ambient light intensity of the user during make up and the preset light intensity threshold value. The face image obtaining unit 530 includes a first camera, and obtains a face image of the user collected by the first camera when the ambient light intensity is greater than a preset light intensity threshold. The makeup prompting unit 540 is configured to perform segmentation processing on the face image to obtain a lip image, an eyebrow image, an eye image, and a face image, where the face image does not include lips, eyebrows, and eyes; carrying out similarity calculation on the lip image and a preset lip image to obtain a lip similarity value, carrying out similarity calculation on the eyebrow image and a preset eyebrow image to obtain an eyebrow similarity value, carrying out similarity calculation on the eye image and a preset eye image to obtain an eye similarity value, and carrying out similarity calculation on the face image and a preset face image to obtain a face similarity value; and if the target similarity value smaller than the corresponding preset threshold exists in the lip similarity value, the eyebrow similarity value, the eye similarity value and the face similarity value, the makeup of the user does not reach the preset condition, and makeup supplement prompt information for prompting the user to make up is output.
It should be noted that, the embodiments of the present disclosure are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. For any processing manner described in the method embodiment, all the processing manners may be implemented by corresponding processing modules in the apparatus embodiment, and details in the apparatus embodiment are not described again.
Referring to fig. 6, based on the aforementioned method for detecting make-up in a vehicle, the present application further provides another vehicle 600 including a processor capable of performing the aforementioned method for detecting make-up in a vehicle, where the vehicle 600 includes: fill light 610, light intensity detector 620, first camera 630, one or more processors 640, memory 650, and one or more applications. The light supplement lamp 610 is configured to provide auxiliary light for light supplement when the obtained ambient light intensity inside the vehicle 600 is smaller than a preset light intensity threshold value, so that the ambient light intensity after light supplement is larger than the preset light intensity threshold value; a light intensity detector 620 for monitoring the intensity of ambient light in the environment in which it is located; the first camera 630 may acquire a face image in the foregoing embodiment; the processor 640 can execute the programs stored in the memory 650, and the memory 650 stores the programs that can execute the contents of the foregoing embodiments.
The light intensity detector 620 may be formed by a photosensitive sensor, for example, a light sensor, wherein the photosensitive sensor may be a photo-resistor type/photo-diode type/photovoltaic cell type/thermal effect infrared light type, and the working principle thereof is to convert an optical signal into an electrical signal by using a photosensitive element, thereby obtaining the ambient light intensity.
The camera 630 may include a lens portion, an LED portion, a chip portion, a PCB and a component portion, where an optical image generated by a user's face through the lens is projected onto the surface of the image sensor, then converted into an electrical signal, converted into a digital image signal through a/D conversion, and then sent to a digital signal processing chip for processing, and then transmitted to a processor such as a computer through a USB interface to generate a face image.
Processor 640 may include one or more cores to process data and a message matrix unit. The processor 640 connects various parts throughout the vehicle 600 using various interfaces and lines, and performs various functions of the vehicle 600 and processes data, such as AI processing of facial makeup of the acquired face image of the user, by operating or executing instructions, programs, code sets, or instruction sets stored in the memory 650, and calling up data stored in the memory 650. Alternatively, the processor 640 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 640 may integrate one or a combination of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 640, but may be implemented by a communication chip.
The Memory 650 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 6550 may be used to store instructions, programs, code sets or instruction sets. The memory 650 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as obtaining a navigation destination, etc.), instructions for implementing various method embodiments described below, and the like. The storage data area may also store data created by the terminal in use (such as effect maps of different makeup types, different makeup tutorial videos, predetermined conditions, etc.).
In some embodiments, the vehicle 600 further includes a second camera, a vanity mirror, and vanity mirror lights. The second camera is arranged on a seat of the vehicle 600 and used for collecting images of the cosmetic mirror, the cosmetic mirror lamp is arranged on the cosmetic mirror and used for assisting a user in makeup, and the cosmetic mirror lamp is used for supplementing light so that the intensity of ambient light after the light supplementation is larger than a preset light intensity threshold value. The first camera 630 is disposed on the vehicle 600 and is configured to capture an image of a designated area in the vehicle 600. For example, when the first camera 630 is mounted on the upper part of the a-pillar or the inner rear view mirror base of the vehicle 600 for capturing images of the driver's seat and the passenger's seat area in the vehicle 600, the first camera 630 may capture a full face image of the user when the driver's seat/passenger's seat area of the vehicle 600 has the user; when the first camera 630 is installed in the B-pillar of the vehicle 600 to capture an image of a rear seat area in the vehicle 600, when there is a user in the rear seat area of the vehicle 600, the first camera 630 may capture a full-face image of the user.
Referring to fig. 7, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable storage medium 700 has stored therein a program code 710, said program code 710 being invokable by the processor for performing the method described in the above-described method embodiments.
The computer-readable storage medium 700 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer-readable storage medium 700 includes a non-volatile computer-readable storage medium. The computer readable storage medium 700 has storage space for program code 710 to perform any of the method steps of the method described above. The program code 710 can be read from or written to one or more computer program products. The program code may be compressed, for example, in a suitable form.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (12)
1. A vehicle interior makeup detection method, characterized by comprising:
acquiring the intensity of ambient light inside a vehicle;
if the ambient light intensity is smaller than the preset light intensity threshold, controlling a light supplementing lamp to be turned on so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold;
acquiring a face image of a user, which is acquired by a first camera when the ambient light intensity is greater than a preset light intensity threshold;
and if the makeup of the user does not reach the preset condition according to the face image, outputting makeup adding prompt information for prompting the user to make up.
2. The makeup detection method according to claim 1, wherein before outputting makeup-adding prompt information for prompting the user to add makeup if it is determined that the makeup of the user does not meet a predetermined condition based on the face image, the method comprises:
carrying out similarity calculation on the face image and a preset image to obtain a similarity value;
and if the similarity value is smaller than a preset similarity threshold value, the makeup of the user does not reach a preset condition.
3. The makeup detection method according to claim 1, wherein before outputting makeup-adding prompt information for prompting the user to add makeup if it is determined that the makeup of the user does not meet a predetermined condition based on the face image, the method comprises:
inputting the face image into a preset makeup detection model to obtain makeup information corresponding to the face image;
determining whether the makeup of the user reaches a predetermined condition according to the makeup information.
4. The makeup detection method according to claim 1, wherein said acquiring an ambient light intensity of a vehicle interior includes:
acquiring ambient light intensity inside the vehicle when the cosmetic mirror is detected to be used;
after the makeup adding prompt information for prompting the user to make up is output, the method further includes:
and when the user makes up, adjusting the brightness of a cosmetic mirror lamp arranged on the cosmetic mirror according to the ambient light intensity of the user during make up and the preset light intensity threshold value.
5. The makeup detection method according to claim 4, wherein upon detecting that the cosmetic mirror is used, said method further comprises:
acquiring an image in a cosmetic mirror;
and if the image in the cosmetic mirror does not comprise the complete face image, adjusting the seat position of the vehicle, so that the image in the cosmetic mirror obtained after the seat position is adjusted comprises the complete face image.
6. The makeup detection method according to claim 5, wherein acquiring an image in a cosmetic mirror includes:
and acquiring an image of the cosmetic mirror acquired by a second camera, wherein the second camera is arranged on a seat of the vehicle.
7. The makeup detection method according to claim 1, wherein before said obtaining the intensity of ambient light inside the vehicle, said method further comprises:
acquiring a user image acquired by a first camera;
detecting whether the user image is a female user image;
if yes, executing the step of obtaining the ambient light intensity.
8. The makeup detection method according to any one of claims 1 to 7, wherein said makeup presentation information for presenting to the user makeup includes at least one of a name of a part to be made up and a color of a cosmetic required for makeup.
9. A makeup appearance inspection device for a vehicle, comprising:
a light intensity acquisition unit for acquiring an ambient light intensity inside the vehicle;
the light supplementing unit is used for controlling the light supplementing lamp to be turned on if the ambient light intensity is smaller than a preset light intensity threshold value, so that the ambient light intensity after light supplementing is larger than the preset light intensity threshold value;
the face image acquisition unit is used for acquiring a face image of the user, which is acquired by the first camera when the ambient light intensity is greater than a preset light intensity threshold value;
and the makeup adding prompting unit is used for outputting makeup adding prompting information for prompting the user to make up if the makeup of the user does not reach the preset condition according to the face image.
10. A vehicle, characterized by comprising:
a light supplement lamp;
a light intensity detector for detecting the intensity of ambient light in the environment in which it is located;
the first camera is used for acquiring a face image;
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of any of claims 1-8.
11. The vehicle of claim 10, further comprising a second camera, a vanity mirror, and a vanity mirror light;
the second camera is arranged on a seat of the vehicle and used for collecting images of the cosmetic mirror; the cosmetic mirror lamp is arranged on the cosmetic mirror and used for assisting a user in makeup, and the cosmetic mirror lamp is used for supplementing light so that the intensity of the environment light after the light is supplemented is larger than a preset light intensity threshold value.
12. A computer-readable storage medium, having stored thereon program code that can be invoked by a processor to perform the method according to any one of claims 1 to 8.
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| CN114879874A (en) * | 2022-05-19 | 2022-08-09 | 广州小鹏汽车科技有限公司 | Interactive method and interactive device for opening and closing vehicle-mounted makeup space, vehicle and medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114879874A (en) * | 2022-05-19 | 2022-08-09 | 广州小鹏汽车科技有限公司 | Interactive method and interactive device for opening and closing vehicle-mounted makeup space, vehicle and medium |
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