Hair damage judgment method, chip and intelligent hair drier

Abstract

The invention discloses a hair damage judgment method, a chip and a hair drier, and the method comprises the steps: the hair drier obtains the brightness data of hair through a color sensor, and then obtains the texture data of the hair through a texture recognition sensor; the hair drier compares the obtained brightness data and texture data of the hair with a hair model, and then the damage degree of the hair is determined according to the comparison result; the hair dryer fuses the acquired brightness data and texture data of the hair into a hair model to construct a new hair model; the hair dryer uses the new hair model as the hair model for identifying the damage degree of the hair, so that the damage change of the hair is determined, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature acquisition, and particularly relates to a method for judging hair damage, a chip and a hair dryer. Background Art

[0002] At present, in addition to meeting the basic function of drying hair, hair dryers provide hair care and styling functions to meet various hairstyle needs and hair care effects. For example, multi-gear temperature and wind speed control to adapt to different hairstyles and hair qualities; negative ion technology, which releases negative ions to neutralize the positive charges on the hair surface to reduce static electricity and hair frizz.

[0003] Before performing hair care, a hair dryer needs to identify the damage condition of the hair. When detecting whether the hair is damaged, generally, a hair damage model is constructed, and then the currently detected hair is matched according to the constructed hair damage model to determine the damage type of the currently detected hair. However, the existing detection methods can only detect whether the hair is damaged, and cannot detect the damage degree and damage change of the hair, with poor flexibility. Summary of the Invention

[0004] To solve the above problems, the present invention provides a method for judging hair damage, a chip and a hair dryer. The specific technical solutions of the present invention are as follows: A method for judging hair damage, the method comprising the following steps: the hair dryer acquires the brightness data of the hair through a color sensor, and then acquires the texture data of the hair through a texture recognition sensor; the hair dryer compares the acquired brightness data and texture data of the hair with a hair model, and then determines the damage degree of the hair according to the comparison result; the hair dryer fuses the acquired brightness data and texture data of the hair into the hair model to construct a new hair model; the hair dryer uses the new hair model as the hair model for identifying the damage degree of the hair, so as to determine the damage change of the hair.

[0005] Further, before the hair dryer works, it first constructs a hair model, including the following steps: the hair dryer acquires the brightness data and texture data of the hair three times through a color sensor and a texture recognition sensor; the hair dryer calculates the average values of the brightness data and texture data of the hair three times, and then uses the average values of the brightness data and texture data as the brightness data and texture data of the hair model.

[0006] Further, the hair dryer acquires the color data of the hair through a color sensor, including the following steps: the hair dryer captures the color information reflected by the hair through a color sensor to obtain the RGB color value of the hair; the hair dryer converts the RGB color value of the hair into the YUV color space according to the conversion formula; the hair dryer extracts the brightness data in the YUV color space to obtain the brightness data of the hair.

[0007] Further, the hair dryer obtains the texture data of the hair through a texture recognition sensor, including the following steps: The hair dryer obtains an image of the hair through the texture recognition sensor, and then the hair dryer performs a discrete Fourier transform on the image of the hair to obtain the frequency domain data of the hair texture; The hair dryer analyzes the frequency domain data of the hair texture after the discrete Fourier transform through a calculation formula to obtain the frequency components of the hair texture; The hair dryer calculates the average frequency or variance of the frequency components of the hair texture, and uses the average frequency or variance of the frequency components of the hair texture as an index of the hair texture.

[0008] Further, the hair dryer compares the obtained brightness data and texture data of the hair with a hair model, and then determines the damage degree of the hair according to the comparison result, including the following steps: The hair dryer compares the obtained brightness data of the hair with the brightness data of the hair model; If the obtained brightness data of the hair is greater than or equal to the brightness data of the hair model, the hair dryer determines that the hair is not damaged; If the obtained brightness data of the hair is less than the brightness data of the hair model, the hair dryer compares the index of the obtained hair texture with the index of the hair texture of the hair model; If the index of the obtained hair texture is less than the index of the hair texture of the hair model, the hair dryer determines that the hair is in the first damage state; If the index of the obtained hair texture is greater than or equal to the index of the hair texture of the hair model, the hair dryer determines that the hair is in the second damage state; Among them, the damage degree of the hair in the second damage state is greater than the damage degree of the hair in the first damage state.

[0009] Further, the hair dryer fuses the obtained brightness data and texture data of the hair into the hair model to construct a new hair model, including the following steps: The hair dryer uses the obtained brightness data of the hair and the index of the hair texture as the hair brightness data and the index of the hair texture of the hair model, and the hair dryer obtains a new hair model.

[0010] Further, the hair dryer uses the new hair model as the hair model for identifying the damage degree of the hair, so as to determine the change in the damage of the hair, including the following steps: After the hair dryer obtains the brightness data and texture data of the hair again and compares them with the hair model, a hair damage curve is constructed according to the comparison result to determine whether the hair quality has improved or deteriorated.

[0011] Further, the hair dryer includes a hair care ingredient module, and a hair care substance is provided in the hair care ingredient module. The hair care substance includes, but is not limited to, hair care essential oil, plant extract, vitamin, and silicone oil. When the hair dryer is working, it controls the hair care ingredient module to output different hair care substances to the hair according to the damage degree of the hair.

[0012] A chip stores a computer program, and the computer program is used to control the hair dryer to execute the above hair damage judgment method.

[0013] A hair dryer, the hair dryer includes the above-mentioned chip.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The hair dryer described in this application identifies the brightness data and texture data of the hair through a color sensor and a texture recognition sensor, judges the damage degree of the hair according to the brightness data and texture data of the hair, and can realize the judgment of different degrees of hair damage through the two data of brightness data and texture data; the hair dryer updates the hair model through the obtained brightness data and texture data, and then detects the damage degree of the hair according to the updated hair model, so as to determine the change of hair damage and improve the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic flow chart of a hair damage judgment method in an embodiment of the present invention. EMBODIMENTS

[0016] The embodiments of the present invention will be described in detail below. The described embodiments are illustrated in the accompanying drawings, in which the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout.

[0017] With reference to the accompanying drawings of the specification, through further description of the specific embodiments of the present invention, the technical solutions and their beneficial effects of the present invention will be made clearer and more definite. The embodiments described below by referring to the drawings are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0018] Such as Figure 1As shown in the figure, a method for judging hair damage includes the following steps: The hair dryer obtains the brightness data of the hair through a color sensor, which is also called a color recognition sensor or a color sensor. It is a sensor that compares the color of an object with a previously taught reference color to detect the color. When the two colors match within a certain error range, it outputs a detection result. Then, it obtains the texture data of the hair through a texture recognition sensor. The texture recognition sensor mainly uses image texture algorithms to recognize the texture of the hair. The image texture algorithms include texture analysis methods based on gray-level co-occurrence matrices, Tamura texture analysis methods, texture feature extraction based on Gabor wavelets, texture feature extraction algorithms based on Fourier transforms, and LBP texture statistical feature extraction algorithms, etc. The hair dryer compares the obtained brightness data and texture data of the hair with a hair model, and then determines the degree of hair damage according to the comparison result. Different degrees of hair damage are set according to whether only a single data of the brightness data and texture data of the hair exceeds the threshold or both data exceed the threshold, so as to determine the hair damage situation. The hair dryer fuses the obtained brightness data and texture data of the hair into the hair model to construct a new hair model. The hair dryer uses the new hair model as the hair model for identifying the degree of hair damage. When detecting the hair again, it judges the comparison result between the current hair damage and the previous hair damage according to the new hair model, so as to determine the change in hair damage. The hair dryer described in this application recognizes the brightness data and texture data of the hair through a color sensor and a texture recognition sensor, and judges the degree of hair damage according to the brightness data and texture data of the hair. Different degrees of hair damage can be judged through the two data of brightness data and texture data. The hair dryer updates the hair model through the obtained brightness data and texture data, and then detects the degree of hair damage according to the updated hair model, so as to determine the change in hair damage and improve the user experience.

[0019] As one of the embodiments, before the hair dryer works, it first constructs a hair model, including the following steps: The hair dryer obtains the brightness data and texture data of the hair three times through a color sensor and a texture recognition sensor. The hair dryer calculates the average values of the brightness data and texture data of the hair three times, and then uses the average values of the brightness data and texture data as the brightness data and texture data of the hair model. The hair dryer constructs a hair model through the average values of the brightness data and texture data detected multiple times, improving the accuracy of detection.

[0020] As one of the embodiments, the hair dryer obtains the color data of the hair through a color sensor, including the following steps: The hair dryer captures the color information reflected by the hair through a color sensor to obtain the RGB color value of the hair. The hair dryer converts the RGB color value of the hair into the YUV color space according to the conversion formula. The hair dryer extracts the brightness data in the YUV color space to obtain the brightness data of the hair.

[0021] As one of the embodiments, the hair dryer obtains the texture data of the hair through a texture recognition sensor, including the following steps: The hair dryer obtains an image of the hair through the texture recognition sensor, and then the hair dryer performs a discrete Fourier transform on the image of the hair to obtain the frequency domain data of the hair texture. The hair dryer analyzes the frequency domain data of the hair texture after the discrete Fourier transform through a calculation formula to obtain the frequency components of the hair texture. The hair dryer calculates the average frequency or variance of the frequency components of the hair texture, and uses the average frequency or variance of the frequency components of the hair texture as an index of the hair texture.

[0022] As one of the embodiments, the hair dryer compares the obtained brightness data and texture data of the hair with a hair model, and then determines the damage degree of the hair according to the comparison result, including the following steps: The hair dryer compares the obtained brightness data of the hair with the brightness data of the hair model. If the obtained brightness data of the hair is greater than or equal to the brightness data of the hair model, the hair dryer determines that the hair is not damaged. If the obtained brightness data of the hair is less than the brightness data of the hair model, the hair dryer compares the index of the obtained hair texture with the index of the hair texture of the hair model. If the index of the obtained hair texture is less than the index of the hair texture of the hair model, the hair dryer determines that the hair is in the first damage state. If the index of the obtained hair texture is greater than or equal to the index of the hair texture of the hair model, the hair dryer determines that the hair is in the second damage state. Among them, the damage degree of the hair in the second damage state is greater than the damage degree of the hair in the first damage state. When the hair starts to be damaged at the beginning, the main changes are dullness and yellowing. When the hair damage becomes serious, the hair will show breakage and splitting. Therefore, the hair dryer judges whether the hair is in the initial damage state, that is, the first damage state, through the brightness data of the hair; if so, it continues to judge whether the hair is in a more serious damage state, that is, the second damage state, through the index of the hair texture; if the hair dryer judges through the brightness data of the hair that the hair is not in the initial damage state, the hair dryer no longer compares the index of the obtained hair texture with the index of the hair texture of the hair model, preventing the user's hair from being misjudged as being in a serious damage state just because it is not sorted out, and also reducing the data that the hair dryer needs to process.

[0023] As one of the embodiments, the hair dryer fuses the obtained hair brightness data and texture data into the hair model to construct a new hair model, including the following steps: The hair dryer uses the obtained hair brightness data and the metrics of the hair texture as the hair brightness data and the metrics of the hair texture of the hair model. The hair dryer obtains a new hair model. The hair dryer sets an LED display screen on the side of the handle. After the hair dryer detects the hair through the new hair model, the hair dryer can display the brightness data and texture data of the current hair model, the detected hair brightness data and texture data, and the detection results on the LED display screen, facilitating the user to understand the hair damage situation. Alternatively, the hair dryer sends the brightness data and texture data of the current hair model and the detected hair brightness data and texture data to the APP on the mobile device, and the APP then displays the detection results to the user. The hair dryer uses the obtained hair brightness data and the metrics of the hair texture as the hair brightness data and the metrics of the hair texture of the hair model. As long as the user conducts a hair damage detection again, they can know whether the current hair condition has improved or deteriorated compared with the previous detection, and it has high practicality.

[0024] As one of the embodiments, the hair dryer uses the new hair model as the hair model for identifying the degree of hair damage, so as to determine the change in hair damage, including the following steps: After the hair dryer compares the newly obtained hair brightness data and texture data with the hair model again, it constructs a hair damage curve according to the comparison result to determine whether the hair quality has improved or deteriorated. The hair dryer sets the hair quality into different gradients, such as 1, 2, 3, 4, 5, 6, 7, 8, 9, etc. If the comparison result shows that the hair quality has improved, the current hair quality is raised by one gradient. For example, the gradient of the previous hair quality was 5, and the gradient of the current hair quality is 6. If the comparison result shows that the hair quality is in the first damage state, the current hair quality is lowered by one gradient. For example, the gradient of the previous hair quality was 5, and the gradient of the current hair quality is 4; if the comparison result shows that the hair quality is in the second damage state, the current hair quality is lowered by two gradients. For example, the gradient of the previous hair quality was 5, and the gradient of the current hair quality is 3. Then the hair dryer connects the gradients of the hair quality obtained multiple times to obtain the hair damage change curve. The hair dryer constructs a hair damage curve through the hair quality damage result, rather than constructing a brightness curve or a texture curve, which can more intuitively present the hair damage situation to the user. The hair dryer determines whether the hair quality has improved or deteriorated by constructing a hair damage curve for time series analysis, thereby helping the user identify the trend of hair damage.

[0025] As one of the embodiments, the hair dryer includes a hair care ingredient module provided with hair care substances, which include but are not limited to hair care essential oils, plant extracts, vitamins, and silicone oils. When the hair dryer is in operation, it controls the hair care ingredient module to output different hair care substances to the hair according to the degree of hair damage.

[0026] A chip stores a computer program for controlling the hair dryer to execute the above hair damage judgment method.

[0027] A hair dryer includes the above chip, a color sensor, and a texture recognition sensor. The chip is connected to the color sensor and the texture recognition sensor. The color sensor and the texture recognition sensor transmit the acquired brightness data and texture data to the chip. The chip determines the degree of hair damage based on the received brightness data and texture data. The color sensor and the texture recognition sensor can be arranged outside the air outlet of the hair dryer, which is convenient for the color sensor and the texture recognition sensor to identify the hair quality and does not affect the air outlet of the hair dryer. The hair dryer also includes a hair care ingredient module that can be arranged in the handle of the hair dryer. The hair care substance outlet of the hair care ingredient module can be arranged in front of the fan of the hair dryer. After the chip controls the hair care ingredient module to release the hair care substance, the hair care substance is conveyed to the hair by the wind force of the fan of the hair dryer. A display or / and a speaker can be arranged on the hair dryer. The chip of the hair dryer sends the detection result to the display and the speaker, and the damage condition of the hair is displayed through the display and the speaker. Alternatively, a wireless information transmission module is arranged on the hair dryer, and the chip sends the detection result to the APP of the mobile device through the wireless information transmission module, and the detection result is displayed through the APP.

[0028] Compared with the existing technology, the beneficial effect of the present invention is that the hair dryer described in this application identifies the brightness data and texture data of the hair through the color sensor and the texture recognition sensor, judges the degree of hair damage based on the brightness data and texture data of the hair, and can realize the judgment of different degrees of hair damage through the two data of brightness data and texture data. The hair dryer updates the hair model through the acquired brightness data and texture data, and then detects the degree of hair damage according to the updated hair model, so as to determine the change of hair damage and improve the user experience.

[0029] In the description of the specification, the description referring to terms such as "in one embodiment", "preferably", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. The schematic representations of the above terms in this specification do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. The connection manners described in the description of the specification have obvious effects and practical efficacies.

[0030] Through the description of the above structures and principles, those skilled in the art should understand that the present invention is not limited to the above specific embodiments. Improvements and substitutions using well-known techniques in the art based on the present invention fall within the protection scope of the present invention, which should be defined by each claim.

Claims

1. A method for judging hair damage, characterized in that, the method comprises the following steps: The hair dryer obtains the brightness data of the hair through a color sensor, and then obtains the texture data of the hair through a texture recognition sensor; The hair dryer compares the obtained brightness data and texture data of the hair with a hair model, and then determines the degree of hair damage according to the comparison result; The hair dryer fuses the obtained brightness data and texture data of the hair into the hair model to construct a new hair model; The hair dryer uses the new hair model as the hair model for identifying the degree of hair damage, thereby determining the change in hair damage.

2. A method for judging hair damage according to claim 1, characterized in that, Before the hair dryer works, it first constructs a hair model, including the following steps: The hair dryer obtains the brightness data and texture data of the hair three times through a color sensor and a texture recognition sensor; The hair dryer calculates the average values of the brightness data and texture data of the hair three times, and then uses the average values of the brightness data and texture data as the brightness data and texture data of the hair model.

3. A method for judging hair damage according to claim 1, characterized in that, The hair dryer obtains the color data of the hair through a color sensor, including the following steps: The hair dryer captures the color information reflected by the hair through a color sensor to obtain the RGB color value of the hair; The hair dryer converts the RGB color value of the hair into the YUV color space according to the conversion formula; The hair dryer extracts the brightness data in the YUV color space to obtain the brightness data of the hair.

4. A method for judging hair damage according to claim 3, characterized in that, The hair dryer obtains the texture data of the hair through a texture recognition sensor, including the following steps: The hair dryer obtains an image of the hair through a texture recognition sensor, and then the hair dryer performs a discrete Fourier transform on the image of the hair to obtain the frequency domain data of the hair texture; The hair dryer analyzes the frequency domain data of the hair texture after performing the discrete Fourier transform through a calculation formula to obtain the frequency components of the hair texture; The hair dryer calculates the average frequency or variance of the frequency components of the hair texture, and uses the average frequency or variance of the frequency components of the hair texture as an index of the hair texture.

5. A method for judging hair damage according to claim 4, characterized in that, The hair dryer compares the obtained brightness data and texture data of the hair with a hair model, and then determines the degree of hair damage according to the comparison result, including the following steps: The hair dryer compares the obtained brightness data of the hair with the brightness data of the hair model; If the obtained brightness data of the hair is greater than or equal to the brightness data of the hair model, the hair dryer determines that the hair is not damaged; If the obtained brightness data of the hair is less than the brightness data of the hair model, the hair dryer compares the index of the obtained hair texture with the index of the hair texture of the hair model; If the index of the obtained hair texture is less than the index of the hair texture of the hair model, the hair dryer determines that the hair is in the first damage state; If the index of the obtained hair texture is greater than or equal to the index of the hair texture of the hair model, the hair dryer determines that the hair is in the second damage state; Among them, the degree of hair damage in the second damage state is greater than that in the first damage state.

6. A method for judging hair damage according to claim 5, characterized in that, The hair dryer fuses the obtained hair brightness data and texture data into the hair model to construct a new hair model, including the following steps: The hair dryer uses the obtained hair brightness data and the indicators of the hair texture as the hair brightness data and the indicators of the hair texture of the hair model, and the hair dryer obtains a new hair model.

7. A method for judging hair damage according to claim 6, characterized in that, The hair dryer uses the new hair model as the hair model for identifying the degree of hair damage, so as to determine the damage change of the hair, including the following steps: After the hair dryer compares the obtained hair brightness data and texture data with the hair model again, a hair damage curve is constructed according to the comparison result to determine whether the hair quality becomes better or worse.

8. A method for judging hair damage according to claim 7, characterized in that, The hair dryer includes a hair care ingredient module, and there is a hair care substance in the hair care ingredient module. The hair care substance includes, but is not limited to, hair care essential oil, plant extract, vitamin and silicone oil. When the hair dryer is working, it controls the hair care ingredient module to output different hair care substances to the hair according to the degree of hair damage.

9. A chip stores a computer program, characterized in that, The computer program is used to control the hair dryer to execute the hair damage judgment method described in any one of claims 1 to 8.

10. An intelligent hair dryer, characterized in that, The hair dryer includes the chip described in claim 9.

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