CN-121987968-A - Hair growing instrument for scalp detection and control method thereof

CN121987968ACN 121987968 ACN121987968 ACN 121987968ACN-121987968-A

Abstract

The application relates to the field of beauty care equipment, and provides a hair growing instrument for scalp detection and a control method thereof. The method comprises the steps of collecting scalp images through the miniature camera, analyzing the collected scalp images by utilizing an AI convolutional neural network model which is built in the module mainboard and trained by scalp samples, judging scalp states and identifying whether hair follicle blockage and scalp redness exist or not, wherein the scalp states at least comprise oily scalp and dry scalp, and adjusting working parameters of the hair growing instrument according to the scalp states obtained through analysis.

Inventors

WANG YANG
CHEN SHAOWEI

Assignees

深圳瑞识智能科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260303

Claims (10)

1. The control method of the hair growing instrument is characterized in that the hair growing instrument comprises a miniature camera, a module main board, a vertical cavity surface emitting laser, a miniature air pump and a micro-current component, wherein the miniature camera, the module main board, the vertical cavity surface emitting laser, the miniature air pump and the micro-current component are arranged on a module upper shell, and the method comprises the following steps: Acquiring scalp images through the miniature camera, wherein the scalp images comprise relevant image information corresponding to oil secretion, hair follicle blockage and scalp redness and swelling; Analyzing the acquired scalp image by utilizing an AI convolutional neural network model which is built in the module main board and trained by scalp samples, judging scalp states, and identifying whether hair follicle blockage and scalp redness and swelling occur or not, wherein the scalp states at least comprise oily scalp and dry scalp; According to the scalp state obtained by analysis, the working parameters of a hair growing instrument are adjusted, if the scalp is oily, the power of the vertical cavity surface emitting laser is adjusted to be preset power to enhance the sterilization effect, if the scalp is a plurality of types of scalp, the pressure of the miniature air pump is adjusted to be preset pressure to increase the liquid guiding amount, and if the hair follicle is blocked, the micro current of the micro current component is adjusted to be preset current to promote the essence absorption.
2. The control method according to claim 1, wherein the capturing scalp images by the miniature camera head includes: The micro camera is automatically started to acquire scalp images according to a preset time interval, or is started to acquire scalp images of a designated area according to an operation instruction corresponding to the trigger function key.
3. The control method according to claim 1, characterized in that before analyzing the acquired scalp image and judging the scalp state using the AI convolutional neural network model trained by scalp samples built in the module main board, further comprising: collecting a plurality of scalp image samples containing oily scalp, dry scalp, hair follicle blockage and scalp red swelling state, and marking the image samples, wherein the marking content comprises oil secretion amount, hair follicle blockage degree and red swelling area; Inputting the marked image sample into an initial AI convolutional neural network model, and training the initial AI convolutional neural network model through supervised learning, so that the initial AI convolutional neural network model can output a corresponding scalp state judgment result according to the input scalp image, and the AI convolutional neural network model after training is obtained.
4. The control method according to claim 1, characterized in that before analyzing the acquired scalp image and judging the scalp state using the AI convolutional neural network model trained by scalp samples built in the module main board, further comprising: Preprocessing the acquired scalp image, namely removing image noise, enhancing image contrast, clipping the image to reserve scalp area, and inputting the preprocessed image into the AI convolutional neural network model.
5. The control method according to claim 1, wherein the adjusting the power of the vcsels to a preset power to enhance the sterilization effect if the scalp is oily, comprises: When it is judged that the scalp is oily, the power of the VCSEL is adjusted to 5 to 10 mW, and the power is maintained until an instruction to stop phototherapy is received.
6. The control method according to claim 1, wherein the adjusting the pressure of the micro air pump to a preset pressure to increase the liquid guiding amount for a plurality of scalp comprises: When the scalp is judged to be dry, the pressure of the miniature air pump is adjusted to 20-30 kilopascals, and the liquid in the liquid storage tank is driven to flow out through the liquid guide toothed protrusions by the pressure until an instruction for stopping liquid guide is received.
7. The control method according to claim 1, wherein the adjusting the microcurrent of the microcurrent assembly to a predetermined current to promote the absorption of essence if there is a hair follicle blockage condition, comprises: when it is recognized that there is a hair follicle blockage, the output current of the microcurrent assembly is adjusted to 50 to 100 microamps, and the scalp is acted on by the metal parts of the light-guiding dentate projections until an instruction to stop the microcurrent is received.
8. The control method according to claim 1, characterized in that the method further comprises: Generating personalized nursing suggestions according to the analysis result of the AI convolutional neural network model, wherein the nursing suggestions comprise phototherapy duration, liquid guide frequency and microcurrent action duration; and controlling an indicator light or a connected terminal device of the hair growing instrument to display the nursing advice.
9. The control method according to claim 1, characterized in that the method further comprises: Recording the result of each scalp detection and corresponding working parameter adjustment data to form a historical care file; and analyzing the change trend of scalp state according to the historical care file, and optimizing the adjustment strategy of the power of the vertical cavity surface emitting laser, the pressure of the micro air pump and the micro current.
10. A hair growing apparatus for scalp detection, for carrying out the method as claimed in any one of claims 1 to 9.

Description

Hair growing instrument for scalp detection and control method thereof Technical Field The application relates to the technical field of beauty care equipment, in particular to a hair growing instrument for scalp detection and a control method thereof. Background In the prior art, traditional hair growing apparatuses are mainly classified into single light-guiding type or liquid-guiding type products. The single liquid-guiding type product mainly adopts LED lamp beads to emit light, has the problems of low power, serious light scattering, insufficient light energy reaching the dermis layer of the scalp and the like, and has limited hair follicle activating effect, and the single liquid-guiding type product can only transport nursing liquid through mechanical smearing or simple extrusion and cannot accurately control the liquid-guiding amount. Few products with light guide and liquid guide functions have the defects that the light guide dentate bulge area is small, the phototherapy effect is weak, the two functions independently operate, and the working parameters cannot be dynamically adjusted according to the actual state of the scalp. For example, the prior art does not relate to detection of real-time states such as scalp oil secretion, hair follicle blockage, scalp redness and swelling, and further lacks a cooperative control mechanism for multiple parameters such as laser power, liquid guiding amount, micro-current and the like based on detection results, so that a user cannot obtain a personalized scalp care scheme, and the hair loss prevention and hair growth promotion effects are affected. Therefore, how to realize the intelligent perception of the hair growth instrument on the scalp state and dynamically and cooperatively adjust the working parameters of the multifunctional module based on the perception result becomes a technical problem to be solved in the field. Disclosure of Invention The application provides a hair growing instrument for scalp detection and a control method thereof, and aims to realize intelligent perception of the hair growing instrument on scalp state and dynamically and cooperatively adjust working parameters of a multifunctional module based on perception results. In a first aspect, an embodiment of the present application provides a control method of a hair growing apparatus for scalp detection, applied to the hair growing apparatus, where the hair growing apparatus includes a micro camera, a module main board, a vertical cavity surface emitting laser, a micro air pump, and a micro current assembly, which are disposed on a module upper case, the method includes: Acquiring scalp images through the miniature camera, wherein the scalp images comprise relevant image information corresponding to oil secretion, hair follicle blockage and scalp redness and swelling; Analyzing the acquired scalp image by utilizing an AI convolutional neural network model which is built in the module main board and trained by scalp samples, judging scalp states, and identifying whether hair follicle blockage and scalp redness and swelling occur or not, wherein the scalp states at least comprise oily scalp and dry scalp; According to the scalp state obtained by analysis, the working parameters of a hair growing instrument are adjusted, if the scalp is oily, the power of the vertical cavity surface emitting laser is adjusted to be preset power to enhance the sterilization effect, if the scalp is a plurality of types of scalp, the pressure of the miniature air pump is adjusted to be preset pressure to increase the liquid guiding amount, and if the hair follicle is blocked, the micro current of the micro current component is adjusted to be preset current to promote the essence absorption. In some embodiments, the step of acquiring scalp images through the miniature camera comprises automatically starting the miniature camera to acquire scalp images according to a preset time interval or starting the miniature camera to acquire scalp images of a designated area according to an operation instruction corresponding to a trigger function key. In some embodiments, before analyzing the collected scalp image and judging the scalp state by using the AI convolutional neural network model trained by the scalp sample built-in by the module main board, collecting a plurality of scalp image samples including oily scalp, dry scalp, hair follicle blockage and scalp red and swollen state, labeling the image samples, wherein labeling content comprises grease secretion, hair follicle blockage degree and red and swollen region, inputting the labeled image samples into an initial AI convolutional neural network model, training the initial AI convolutional neural network model through supervised learning, and enabling the initial AI convolutional neural network model to output a corresponding scalp state judging result according to the input scalp image, thereby obtaining the trained AI convolutional neural network model.