24 results about "Skin colour" patented technology

This application provides a skin color detection method and apparatus for use in a laser hair removal device. The laser hair removal device includes a control board and a treatment head. The treatment head contains a contact sensor and a skin color detection component. The light outlet of the treatment head has a skin color detection window and a contact detection part arranged circumferentially. The light outlet, skin color detection window, and contact detection part of the treatment head are arranged on a common end face. The method includes: the control board acquiring a contact signal collected by the contact sensor through the contact detection part, and determining whether the light outlet of the treatment head is in contact with the skin based on the contact signal; after determining that the light outlet of the treatment head is in contact with the skin, the control board controls the skin color detection component to collect the skin color signal through the skin color detection window, and determines the skin color type based on the skin color signal. The technical solution of this application provides high accuracy in determining the skin color type, and the control parameters determined according to the user's skin color also match the user's skin color, resulting in stable hair removal effect without skin damage.

The application relates to the technical field of electrical equipment, and discloses a blood oxygen compensation value determination method and device, computer equipment and a blood oxygen detection system, wherein the blood oxygen compensation value determination method comprises the following steps: obtaining a skin picture; obtaining a skin color feature vector according to the skin picture; inputting the skin color feature vector into a preset skin color compensation model to obtain a blood oxygen compensation value corresponding to the skin picture. Thus, the blood oxygen compensation value can be obtained by processing the skin picture, the blood oxygen value detected by a blood oxygen detector can be compensated by using the blood oxygen compensation value, and the problem of low measurement accuracy when blood oxygen is detected by using the blood oxygen detector is solved.

The application discloses a kind of display equipment skin color restoration perceived color difference evaluation method and system, including obtaining reference image and to be evaluated image;Obtain preset reference white point coordinate;Reference image and to be evaluated image are converted from RGB color space to YCbCr color space, and skin color region pixel is extracted according to skin color threshold value;Skin color region RGB value is converted into CIE XYZ value and CIELAB value;The difference between the brightness of two images skin color region, chroma difference, hue difference, average brightness and average hue;Based on the fitting relationship of visual color difference and the average brightness, average hue of image pair of subjective visual evaluation experimental data, determine brightness direction weight parameter, chroma direction weight parameter and hue direction weight parameter, construct skin color difference evaluation model;Color difference parameter and weight coefficient are input into model, to obtain evaluation perceived color difference value, and output skin color restoration quality evaluation result.The application can be used for display equipment skin color restoration evaluation, white balance effect evaluation and related image processing scene.

The present invention provides a light-irradiation type beauty device that enables detection of skin contact with the skin-contacting surface and detection of skin color, while suppressing the need for a large device. [Solution] The main body 1a of the light irradiation type beauty device 1 includes a light source 130 that emits light to irradiate light onto the skin surface, a light receiving element 181 for detecting contact of the skin surface with the skin contact surface 160b provided on the attachment 160, a light-transmitting part 170 positioned between the skin surface in contact with the skin contact surface 160b and the light receiving element 181, which is capable of transmitting light, and a light-emitting element 182 that emits light to detect the color of the skin surface. After the light receiving element 181 detects contact of the skin surface with the skin contact surface 160b, the light-emitting element 182 emits light to detect the color of the skin surface, and this light is irradiated onto the skin surface through the light-transmitting part 170, and the light receiving element 181 detects the color of the skin surface based on the light it receives.

The application provides a gesture recognition and interaction method and system based on a complex background, relates to the technical field of gesture recognition, and comprises the following steps: acquiring an image sequence, counting background and skin color features, calculating a background probability distribution map, and extracting multi-level features to predict a gesture key point heat map. The background probability inverse mapping is used as an initial attention bias, a double-branch attention mechanism integrating skin color and structure saliency maps is constructed, and the key point heat map is used for morphological guidance correction to obtain morphologically constrained attention weights. After the weights are transmitted across levels, the multi-level features are weighted and fused to obtain background-suppressed gesture features, and finally gesture recognition is realized and interaction instructions are generated. The application effectively suppresses complex background interference and improves the accuracy and robustness of gesture recognition.

The application discloses a kind of medicine-food homologous composite powder for improving female blood deficiency and brightening skin color and a preparation process thereof, and according to single strip 10g measurement, components include donkey-hide gelatin powder, heavy petal red rose powder, red date powder, medlar powder, vitamin C, ginseng powder, ginseng powder, mulberry powder, ginseng powder, vitamin C. During preparation, low-temperature drying, ultrafine grinding, sterile mixing, microwave sterilization and strip part packaging are carried out to form finished products. The application has scientific and mild formula, and the medicine-food homologous components have synergistic effect, can effectively benefit qi and nourish blood, warm uterus and resist fatigue, brighten skin color and improve cold hands and feet. The process is simple and easy to mass-produce, the product is portable and easy to absorb, and is suitable for long-term daily nourishment of women.

The embodiment of the application relates to the technical field of image processing, and discloses a skin color migration method and device and electronic equipment, the skin color area of a source image and the skin color area of a reference image are respectively subjected to Lab color space conversion, and based on a skin color conversion rule, the skin color area of the source image under the Lab color space is subjected to preliminary skin color migration to obtain a preliminary skin color migration image, further, based on the pixel value of the pixel point of the skin color area of the source image under the Lab color space and the pixel value of the pixel point of the skin color area of the reference image, a color matrix is calculated, and based on the color matrix, the preliminary skin color migration image is subjected to color correction to obtain a corrected skin color migration image, the application can solve the problems of unreasonable brightness distribution of the image after skin color migration and poor migration effect, and improve the accuracy and stability of skin color migration.

The application relates to the technical field of skin light processing, in particular to a skin light processing device and a light processing method, an electronic device and a storage medium. According to the skin light processing method of the application, the method is applied to a skin light processing device, the skin light processing device comprises a shell, a skin color detection module, a light emitting assembly and a filter assembly, the skin light processing method first needs to perform skin color detection on target skin through the skin color detection module to determine a target skin color type, and at least one target filter is determined from various alternative filters; a driving operation is performed on a power unit of the filter assembly, at least one target filter is placed between the light emitting assembly and a light emitting port through a transmission mechanism of the filter assembly; the light emitting assembly generates original processing light, and the original processing light is filtered into target processing light through the target filter; and the target processing light is emitted from the light emitting port of the shell. In this way, the processing of the emitted light can be completed by automatically switching the filter.

Headband headphones may be provided with an on-ear detection (OED) to switch the headphone automatically on or off or into a specific mode upon detecting that the user is or is not wearing the headphone. Individual differences in the users' appearances, such as hair color and style, skin color, earrings and the shape of the auricle, often have an impact on the detection result, reducing its reliability. On-ear detection for headband headphones (100) with improved reliability allows adjusting the on-ear detection to individual characteristics of a user by setting (610) the headphone into a calibration mode, performing (620) a measurement process, wherein a light detector measures an amount of reflected light, deriving (630) a threshold value from the measured amount of reflected light, storing (640) the threshold value and terminating (650) the calibration mode. OED is improved by using the stored individual threshold value instead of a default threshold value.

Method for determining a color and kinetic assessment tool for cosmetic products. A method for determining an assessment tool for a given population, the given population being characterized by a distribution of skin colors, the method comprising: - determining a group of skin colors from among a set of skin color groups in a colorimetric space, said skin color group being representative of the skin color distribution of the given population and each skin color group defining a range of skin colors in the colorimetric space, the range of skin colors of each skin color group being distinct from the other group(s) of skin colors, - constructing a panel of individuals whose skin colors are representative of the determined skin color groups.- the determination of a protocol for applying cosmetic products to the panel of individuals, the panel of individuals and the protocol forming the evaluation tool, the evaluation tool being used at different times.

This method for determining a skin colour of a region of interest of a user, comprises: —importing, from an image library (LIB) of a user computational device (APP), at least one image (IMk) comprising a representation of the region of interest of the user; —performing processing (TS) of said at least one image (IMk) with a machine-learning model (AI_TS) suitable for providing, for each imported image (IMk), a numerical value (ClrEstm_k) representative of the skin colour of the region of interest present in said at least None imported image (IMk); —performing evaluation (EVAL) of the skin colour of the region of interest on the basis of said one or more numerical values (ClrEstm_k) of each imported image.

This disclosure provides an image processing method, comprising: identifying a face in an image to be processed; acquiring morphological features and skin color features of the face in the image to be processed; determining a standard skin color of the face based at least on the morphological features of the face; the standard skin color of the face representing the skin color of the face in reality; determining a first light source color temperature of the image to be processed based on the standard skin color and the skin color features of the face; and performing white balance processing on the image to be processed based at least on the first light source color temperature. This disclosure also provides an image processing apparatus and a computer program product.

The application discloses a melanin promoting composition and a preparation method and application thereof, and belongs to the technical field of cosmetics and biological agents. The melanin promoting composition is composed of the following components in percentage by mass: acetyl hexapeptide-1 0.01-0.5 parts, Poria cocos extract 1-5 parts, sophorolipid 0.5-5 parts, 1,3-dihydroxyacetone 3-20 parts, a humectant 5-20 parts, a preservative 0.1-0.5 parts, a thickening agent 0.1-1 part, a pH regulator 0.1-0.3 parts, an emulsifier 0.5-3 parts, and the rest is water. The composition selects a small-molecule peptide with biological activity, and is compounded with sophorolipid, 1,3-dihydroxyacetone, Poria cocos extract and a humectant to realize the functions of promoting tanning, accelerating tanning, prolonging tanning time, avoiding dry skin color and unevenness in the natural tanning process, and strong stability in long-time storage.

This invention belongs to the field of cosmetic technology, specifically relating to a composition with skin-improving effects and its preparation method. The skin-improving composition provided by this invention includes extracts of *Melaleuca lanceolata*, *Melaleuca leucocephala* leaf oil, *Tropaeolum majus* extract, *Carobella vulgaris* fruit extract, and tranexamic acid. These five components have a synergistic effect, effectively increasing the composition's inhibition rate against tyrosinase. This skin-improving composition can be used in the preparation of skincare products such as face creams, significantly enhancing the skin-brightening and whitening effects of face creams, and is gentle and non-irritating, possessing broad market application value.

The present application relates to the technical field of computer vision and medical image processing, and discloses a facial acne intelligent grading method and system based on image analysis, which comprises the following steps: facial image standardization acquisition and skin color normalization preprocessing, facial key point positioning and region of interest analysis, multi-type acne lesion instance segmentation and automatic counting, region weighted multi-feature fusion lesion severity comprehensive score, acne grade determination based on clinical grading standard, and image registration before and after treatment and curative effect quantitative evaluation. The present application eliminates the differences in illumination and skin color through skin color normalization, realizes fine identification of five types of skin lesions including comedones, papules, pustules, nodules and cysts, and outputs corresponding clinical grading results and curative effect evaluation report by combining region weight and category weight to calculate comprehensive score.

This application relates to an image processing method and apparatus for hair removal devices, and the hair removal device itself. The method includes: acquiring a skin image of the skin surface to be treated for hair removal; performing pore segmentation on the skin image to obtain a mask image indicating the segmentation result; determining the pore diameter and pore density of the skin surface based on the mask image; performing skin color recognition on the skin image to determine skin color characterization information of the skin surface; generating a feature vector based on the pore diameter, pore density, and skin color characterization information; and predicting predicted energy parameters based on the feature vector using a pre-trained energy parameter prediction model, wherein the predicted energy parameters are used to control the hair removal process of the hair removal device. This method can improve the reliability of hair removal devices.

The application discloses a face skin color unification method and system based on a generative adversarial network, relates to the technical field of image processing, and comprises the following steps: obtaining a training sample set and constructing a generative adversarial network, wherein a generative network adopts a U-Net-like architecture and a spatial self-adaptive normalization layer is arranged; inputting an input face image into the generative network to obtain a generated image, splicing the input face image and the generated image to obtain a first spliced image, splicing the input face image and a target skin color unification image to obtain a second spliced image, and sending the second spliced image into a multi-scale discriminative network for adversarial discrimination; training the generative network based on an adversarial loss, a perception loss and an L1 loss, and training the discriminative network based on a multi-scale adversarial loss to obtain a skin color unification model; and inputting a face image to be processed into the model to generate a skin color unification result image. Through the technical scheme, face skin colors can be effectively unified, color deviation and artifacts are reduced, and the image quality is ensured.

This application provides a laser hair removal device, relating to the field of medical aesthetics technology. The device includes a base, a detection component mounted on the base, a first detector, a controller, and a laser. The detection component, the first detector, and the laser are electrically connected to the controller. The first detector emits an RGB light signal towards a reflector to obtain skin color information based on the reflected first reflection signal, or emits a first monochromatic light signal towards the reflector and receives the reflected second reflection signal to confirm that the detection surface of the first detector has contacted the reflector. After contacting the reflector, the detection component obtains a contact capacitance signal to confirm that the contacted reflector is human skin. The controller outputs the received skin color information and determines whether the laser can enter the working state or controls the laser to stop working based on the received second reflection signal and contact capacitance signal. This laser hair removal device has a high accuracy rate in contact judgment and can obtain skin color information of the human skin.

The application provides a skin color recognition model training method, a skin color recognition method, a device and an electronic device, and relates to the technical field of image processing. The method comprises the following steps: acquiring a sample face image, wherein the sample face image comprises a plurality of sample images of different angles, and a real skin color value is pre-labeled in each sample image; identifying the plurality of sample images of different angles by using a network model to be trained to obtain recognition results under the plurality of angles, wherein the recognition result under each angle comprises a predicted skin color value under the angle; calculating a skin color prediction loss value according to the real skin color value in the plurality of sample images of different angles and the predicted skin color value under the corresponding angle; calculating a total loss value according to the skin color prediction loss value; updating parameters of the network model according to the total loss value to obtain a skin color recognition model. The application can realize convenient and fine multi-angle skin color recognition.

The application provides a capillary refill time detection method, comprising the following steps: attaching a detection probe to the surface of the skin of a detection site, collecting a first optical signal; applying pressure through a spring, triggering a micro switch when reaching a preset threshold, and recording the starting time of blood driving; maintaining a standardized pressure for a preset duration, recording the ending time of blood driving; simultaneously starting an optical sensor to continuously collect light reflection intensity signals, and generating a recovery period signal curve; processing the recovery period signal curve based on a dynamic baseline recovery algorithm, calculating the time required for signal recovery to a preset threshold, and outputting a capillary refill time value; collecting the skin temperature of the detection site, and performing temperature compensation correction. The capillary refill time detection method can realize pressure standardization, detection quantification, skin color self-adaptation, temperature compensation, and digitalized result tracing, and can comprehensively solve the multiple defects of traditional manual detection and existing quantitative equipment.

The present application provides a sunscreen composition and its use, wherein the sunscreen composition comprises titanium dioxide, divalent iron oxide and trivalent iron oxide. By combining titanium dioxide, divalent iron oxide and trivalent iron oxide, the present application can not only adjust different colors of skin, but also has a selective sunscreen effect. Further, the sunscreen composition of the present application can further improve the selectivity of the spectrum, so as to achieve a better spectral selective protection effect.

The application provides a system and method for analyzing sleep state by collecting data through a wearable device, comprising: a collecting module, configured to collect original pulse data of a user through a wearable device, adjust the original pulse data according to the skin color of the user and external light, and obtain original waveform data; an analyzing module, configured to analyze the original waveform data, obtain basic body parameters of the user, analyze the health state of the user according to the basic body parameters, and determine a module, configured to establish an organ state corresponding to each target organ of the user according to the health state, and obtain the sleep state of the user at the same time according to the change of the organ state. The sleep state of the user is comprehensively judged by analyzing the organ sleep of the user, so as to reduce the error of sleep detection and improve the quality of sleep detection of the intelligent device.

The application discloses a face recognition processing method and device, and relates to the field of biometric recognition technology in the field of artificial intelligence. A specific embodiment of the method comprises the following steps: receiving an original face image collected by a face collection interface, inputting the original face image into a preset color model to obtain a hue value and a brightness value of each pixel point; determining a pixel point set whose hue value is located in a preset hue range and whose brightness value is located in a preset brightness range, obtaining a skin color region in the original face image, and performing auditing processing on the skin color region; through auditing, calling a preset face detection model to identify whether a face in the original face image is complete, and in response to an identification result that the face is complete, transmitting the original face image to a face recognition interface for processing. The embodiment adds a face image evaluation link, and the face image is sent to a face library for recognition processing after evaluation, so that the face library recognition success rate is increased, and the user face payment experience is improved.