基于视觉和深度学习的智能化中医检测系统

Intelligent Traditional Chinese Medicine Detection System Based on Vision and Deep Learning

近年来人工智能技术快速发展,基于此该系统设计了一个基于视觉和深度学习的智能化中医检测系统。在本系统中,以中医的望闻问切中的望的思想的特点和研究为基础,通过编程实现人脸识别、肤色分析、脸部肤质检测和基于实时眼眶比的疲劳度监测,最后通过建立的中医辩证算法结合历史数据得到对于目前状态的分析与适当的建议等一系列功能。包括:通过摄像头获取当前用户的面部图像;通过面部图像识别出当前用户的身份;调取当前用户的标准健康状况数据;调取当前用户的历史健康状况数据;根据面部图像得到当前用户的当前痤疮数量数据以及当前诊断肤色;根据当前痤疮数量数据、当前诊断肤色、标准健康状况数据以及历史健康状况数据,给出针对当前用户的中医健康状况建议。该技术方案可以通过采集用户面部图像,快速对用户的健康状态和疲劳状态进行分析,并通过显示设备提醒用户注意。

The rapid development of artificial intelligence technology in recent years,the system designs an intelligent traditional Chinese medicine detection system based on vision and deep learning.In this system,based on the characteristics and research of the thought of"looking,hearing,asking and cutting"in traditional Chinese medicine,we program to realize face recognition,skin color analysis,face skin detection and fatigue monitoring based on real-time eye orbit ratio.Finally,through the established dialectical algorithm of traditional Chinese medicine combined with historical data,we can get a series of functions such as analysis and appropriate suggestions for the current state.Including:acquiring the face image of the current user through the camera;Recognize the identity of the current user through the facial image;Retrieve the standard health status data of the current user;Retrieve the historical health status data of the current user;Obtaining the current acne quantity data of the current user and the current diagnosed skin color according to the facial image;According to the current acne quantity data,current diagnosis skin color,standard health status data and historical health status data,determine the TCM health status suggestions for the current user.Through this technical scheme,we can quickly analyze the user’s health state and fatigue state by collecting the user’s facial image,and remind the user’s attention through the display device.