Search

CN-121987336-A - Visual positioning and energy modal-based self-adaptive laser dehairing system and control method

CN121987336ACN 121987336 ACN121987336 ACN 121987336ACN-121987336-A

Abstract

The invention discloses a visual positioning and energy modal-based self-adaptive laser dehairing system and a control method, which belong to the technical field of laser dehairing and comprise a visual positioning module, a laser emitting module and a control module, wherein the visual positioning module comprises a high-resolution industrial camera, a light source system and an image processing unit, and is used for collecting image information of skin and hair follicles, extracting hair follicle characteristic information and calculating position coordinates of the hair follicle characteristic information in a three-dimensional space, wherein the positioning accuracy is within 0.05mm, and the laser emitting module is used for realizing rapid and accurate three-dimensional positioning of the hair follicles by selecting the high-resolution industrial camera to match with an annular LED light source system and combining a target detection algorithm based on deep learning and a binocular visual principle, and the positioning accuracy can be 0.02mm. Meanwhile, the laser emission module can accurately emit laser with proper parameters to the hair follicle position according to the instruction of the energy mode self-adaptive control module. In the depilation treatment test of a group of 50 volunteers, the hair follicle removal rate reaches 98.5%, and the depilation effect and efficiency are remarkably improved.

Inventors

  • CHEN ZIYI

Assignees

  • 壹万万文化传媒(广州)有限公司

Dates

Publication Date
20260508
Application Date
20260312

Claims (10)

  1. 1. Self-adaptive laser unhairing system based on visual positioning and energy modes, which is characterized by comprising: the visual positioning module comprises a high-resolution industrial camera, a light source system and an image processing unit, and is used for collecting image information of skin and hair follicles, extracting hair follicle characteristic information and calculating position coordinates of the hair follicle characteristic information in a three-dimensional space, wherein the positioning accuracy is within 0.05 mm; the laser emission module comprises a laser generator, a light beam transmission system and a focusing device and is used for generating and focusing laser with specific wavelength to the hair follicle position; The energy modal self-adaptive control module is in communication connection with the visual positioning module, the sensor module and the intelligent hair dynamic monitoring feedback module and is used for adjusting the wavelength, energy and pulse width of laser in real time through a preset algorithm model according to hair follicle characteristic information, skin parameters and hair dynamic change information; The sensor module comprises a temperature sensor and a humidity sensor and is used for monitoring temperature and humidity parameters of the skin surface in real time; The intelligent hair dynamic monitoring feedback module comprises a high-precision optical sensor and an image analysis unit, and is used for collecting the images and optical signals of the hair in real time and extracting the dynamic change information such as the growth state, the length, the thickness and the like of the hair; the safety monitoring and early warning module is in communication connection with the sensor module and the energy mode self-adaptive control module and is used for triggering an early warning mechanism and adjusting laser parameters or stopping treatment when skin parameters exceed a safety range; the intelligent complication prediction module is used for establishing a complication prediction model and giving a prevention suggestion based on big data analysis and a machine learning algorithm by combining individual characteristics of a patient and treatment real-time data; The operation and display module adopts a high-resolution touch display screen and is used for simultaneously displaying skin images, hair follicle positioning results, treatment parameters, hair dynamic change information, safety early warning information and complications prediction results.
  2. 2. The adaptive laser dehairing system based on visual localization and energy modes according to claim 1, wherein the image processing unit of the visual localization module adopts a target detection algorithm based on deep learning, and realizes accurate detection and three-dimensional localization of hair follicles by training and labeling image data.
  3. 3. The adaptive laser depilation system based on visual localization and energy modes as claimed in claim 1, wherein the optical sensor of the intelligent hair dynamic monitoring feedback module is a laser scattering sensor or an optical coherence tomography sensor, wherein the laser scattering sensor extracts the hair length and thickness information by analyzing scattered light intensity and distribution change, and the OCT sensor analyzes the hair tomographic image by image segmentation and feature extraction algorithm to obtain the growth state and three-dimensional structure information.
  4. 4. The adaptive laser depilation system based on visual localization and energy modes as claimed in claim 1, wherein the algorithm model of the energy mode adaptive control module is a model based on fuzzy logic or neural network, and the laser parameters are adjusted in real time by integrating hair follicle characteristic information, skin parameters and hair dynamic change information.
  5. 5. The visual localization and energy modality-based adaptive laser hair removal system of claim 1, wherein the safety monitoring and early warning module comprises a threshold comparison algorithm and a trend prediction algorithm, wherein: the threshold comparison algorithm is used for triggering early warning when the skin temperature or humidity exceeds a preset safety range; the trend prediction algorithm predicts further changes in skin parameters based on historical data and real-time parameter variation trends, and adjusts the treatment strategy in advance.
  6. 6. The adaptive laser hair removal system based on visual localization and energy modalities of claim 1, wherein the machine learning algorithm of the intelligent complications prediction module is a support vector machine or random forest, and the prediction model is built by training a large dataset comprising individual characteristics of the patient and treatment parameters.
  7. 7. The adaptive laser epilation system based on visual positioning and energy modalities of claim 1, wherein the touch display screen resolution of the operation and display module is not lower than 1920 x 1080, the size is not smaller than 10 inches, supporting multi-information on-screen display and touch operation.
  8. 8. A laser hair removal control method based on a visual localization and energy modality adaptive laser hair removal system as claimed in any one of claims 1 to 7, comprising the steps of: The visual positioning step is that an industrial camera and a light source system are started to acquire images, hair follicle characteristic information is extracted through an image processing unit, and three-dimensional coordinates are calculated; The intelligent hair dynamic monitoring feedback step is that an optical sensor is started to collect hair signals, dynamic change information is extracted through an image analysis unit and fed back to an energy mode self-adaptive control module; the energy mode self-adaptive adjustment step is that the wavelength, the energy and the pulse width of the laser are adjusted in real time according to the hair follicle characteristic information, the skin parameters and the hair dynamic change information; The safety monitoring and early warning step is to continuously monitor skin parameters, trigger early warning and adjust laser parameters or stop treatment when the skin parameters exceed the safety range; and an intelligent complication prediction step, namely collecting individual characteristics and treatment data of the patient, and giving complication prevention suggestions in advance through a prediction model.
  9. 9. The adaptive laser depilation control method based on visual localization and energy modality as claimed in claim 8, wherein in the energy modality adaptive adjustment step, the adjustment range of the laser parameters includes: Wavelength is dynamically selected in the range of 500nm to 1200nm according to the hair follicle depth and skin type; The energy is dynamically adjusted within the range of 5J/cm2 to 50J/cm2 according to the thickness of the hair; pulse width: dynamically optimized in the range of 1ms to 100ms depending on skin reaction.
  10. 10. The use of a laser hair removal system according to any one of claims 1 to 7 in medical cosmetic or dermatological treatment, wherein the system achieves a hair removal effect of not less than 98% and a skin adverse reaction rate of not more than 3% by means of personalized treatment parameter adjustment and a real-time dynamic feedback mechanism.

Description

Visual positioning and energy modal-based self-adaptive laser dehairing system and control method Technical Field The invention relates to the technical field of laser unhairing, in particular to a visual positioning and energy modal-based self-adaptive laser unhairing system and a control method. Background The laser dehairing technology is used as a non-invasive dehairing mode, and is widely applied to the field of beauty and medical treatment by virtue of the advantages of high efficiency, safety, durability and the like. The principle is that the melanin in the hair follicle absorbs the laser energy with specific wavelength by utilizing the selective photo-thermal effect of the laser, thereby damaging the hair follicle structure and achieving the purpose of inhibiting the hair growth. With the continuous progress of technology, laser depilating equipment has made certain progress in aspects such as energy output control, cooling system design. For example, early laser depilating devices mostly adopt a laser emission mode with fixed parameters, have poor adaptability to different individuals and parts, and nowadays, some devices start to have a function of roughly adjusting parameters according to basic information such as skin types, hair thickness and the like, so that depilating effects and safety are improved to a certain extent. However, the existing laser unhairing technology has the following problems: 1. The hair follicle positioning accuracy is insufficient, and in the laser unhairing process, accurate hair follicle positioning is a key for ensuring that laser energy accurately acts on a target and improving unhairing effect. However, most existing laser epilation systems employ simpler positioning means, such as methods based on skin surface markings or monocular vision. The methods have obvious limitations, and the three-dimensional position information of the hair follicle cannot be accurately obtained, so that the laser emission position has deviation; 2. the safety guarantee of the treatment is imperfect, and parameters such as temperature, humidity and the like on the surface of the skin can directly influence the safety and the effect of the treatment in the laser dehairing process. Excessive temperature may cause skin scalding, while humidity anomalies may affect laser propagation and absorption; 3. The individuation treatment and the complication prediction capability are poor, namely, the hair follicle depth, the hair thickness, the skin type, the response and the like of different patients are different, and all factors influence the effect and the safety of laser dehairing. However, most existing laser depilating systems adopt uniform treatment parameters, and cannot be individually adjusted according to individual characteristics of patients. For this reason, we provide a visual localization and energy modality based adaptive laser dehairing system and control method. Disclosure of Invention The invention aims to solve the problems in the prior art, and provides a visual positioning and energy modal-based self-adaptive laser dehairing system and a control method. In order to achieve the above purpose, the present invention adopts the following technical scheme: an adaptive laser epilation system based on visual localization and energy modality, comprising: the visual positioning module comprises a high-resolution industrial camera, a light source system and an image processing unit, and is used for collecting image information of skin and hair follicles, extracting hair follicle characteristic information and calculating position coordinates of the hair follicle characteristic information in a three-dimensional space, wherein the positioning accuracy is within 0.05 mm; the laser emission module comprises a laser generator, a light beam transmission system and a focusing device and is used for generating and focusing laser with specific wavelength to the hair follicle position; The energy modal self-adaptive control module is in communication connection with the visual positioning module, the sensor module and the intelligent hair dynamic monitoring feedback module and is used for adjusting the wavelength, energy and pulse width of laser in real time through a preset algorithm model according to hair follicle characteristic information, skin parameters and hair dynamic change information; The sensor module comprises a temperature sensor and a humidity sensor and is used for monitoring temperature and humidity parameters of the skin surface in real time; The intelligent hair dynamic monitoring feedback module comprises a high-precision optical sensor and an image analysis unit, and is used for collecting the images and optical signals of the hair in real time and extracting the dynamic change information such as the growth state, the length, the thickness and the like of the hair; the safety monitoring and early warning module is in communication connection with the sensor module and