Intelligent detection method for head hair transplanting area and head auxiliary detection system

A technology of intelligent detection and auxiliary detection, which can be used in diagnostic recording/measurement, medical science, sensors, etc., and can solve problems such as insufficient means of scalp condition detection

Pending Publication Date: 2021-06-08
王宏鑫
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of insufficient detection methods of scalp conditions before and after hair transplantation in the existing technology, this solution provides an intelligent detection method for the hair transplantation are

Method used

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  • Intelligent detection method for head hair transplanting area and head auxiliary detection system
  • Intelligent detection method for head hair transplanting area and head auxiliary detection system
  • Intelligent detection method for head hair transplanting area and head auxiliary detection system

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Experimental program
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Effect test

Embodiment 1

[0039] The present embodiment has designed the intelligent detection method of a kind of head hair transplant area, comprises following S1, S2 and S3 three steps:

[0040] S1: Use auxiliary light to fill in the top, left, right and back sides of the human head.

[0041] In step S1, the auxiliary light used for supplementary light includes standard white light, ultraviolet light, cross polarized light or / and parallel polarized light. The purpose of supplementary light is to facilitate the observation of the state of the scalp under different light conditions, so as to facilitate the detection of the health of the scalp, the position of the hairline, and the size of the pores of the hair follicles;

[0042]Among them, the supplementary light of ultraviolet light is used to detect the occlusion of scalp hair follicles and oil secretion. Through these characteristics, it is convenient to intelligently match the health of scalp hair follicles, and it is convenient for doctors to gi...

Embodiment 2

[0052] After the hair transplant area is determined in embodiment 1, the hair transplant quantity calculation method in the hair transplant area is: calculate the area of ​​the hair transplant area under the three-dimensional model of the head, and the hair transplant area is a surface area identical to the shape of the top of the head; then , balding patients can calculate the total number of hair transplants that need to be implanted by manually selecting the hair transplant density scheme. In this way, it is convenient for hair loss patients to choose a hair transplant plan according to the actual situation, and calculate the cost of hair transplant. In addition, in this plan, the number of hair transplants can be calculated through simple division operations, which can make the calculation process of hair transplant costs more open and transparent.

[0053] At the same time, before calculating the total number of hair transplants needed, since the number of hair follicles o...

Embodiment 3

[0055] After determining the hair transplant area in embodiment 1, the hair model in the database with different densities, different hair lengths and different hair growth directions can be selected according to the shape of the hair transplant area through the intelligent AI unit, and the selected hair model can be pasted Go to the hair transplant area, and display the simulation effect after implantation through the monitor.

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Abstract

The invention belongs to the technical field of detection methods and devices before and after hair transplantation, and particularly relates to an intelligent detection method for a head hair transplantation area and a head auxiliary detection system. The intelligent detection method comprises the following steps: supplementing light for hair transplantation and hair taking parts such as the head top, the left afterbrain, the right afterbrain and the right afterbrain of a detected person; obtaining images of different spectrums through standard white light and other auxiliary irradiation in the shooting process; and according to the shot images, analyzing various data of the parts needing hair transplantation through artificial intelligence Ai software, and providing reference suggestions a hair transplantation scheme. An intelligent Ai unit is used for completing identification and drawing of the whole head top area and identifying and drawing of the hair transplantation areas with hair or without hair or with little hair, the area, needing hair transplantation, of the head can be rapidly positioned through an electronic photographing technology, virtual hair transplanting effect pictures are pasted to bald areas through artificial intelligence Ai software and the image processing technology, the detected person can select a hair transplantation scheme suitable for the detected person; and the change effect before and after hair transplantation is vividly reflected.

Description

technical field [0001] The invention belongs to the technical field of detection methods and devices before and after hair transplantation, and in particular relates to an intelligent detection method and an auxiliary head detection system for a hair transplantation area on the head. Background technique [0002] The acceleration of the pace of modern society and the increase of life pressure, often staying up late, nutritional imbalance, and the influence of genetic factors have resulted in an increasing number of hair loss people and a general trend of younger age. In society, the impact of baldness caused by hair loss on people's psychology is self-evident. [0003] Hair transplantation is to take the hair follicles in the back of the human body as the source, and after separating them into single or multiple hair follicle units, through fine microsurgical techniques, the hair follicle units are transplanted to the site to be transplanted, allowing them to survive and gro...

Claims

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Application Information

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IPC IPC(8): A61B5/00
CPCA61B5/446
Inventor 王宏鑫
Owner 王宏鑫
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