Method and device for sensitivity level-detection and care of facial skins

Abstract

The invention discloses a method and a device for sensitivity level-detection and care of facial skins. The method comprises the following steps: a subject uses WeChat or a customized APP to scan a two-dimensional code, and information of the subject is transmitted to a detection system; a skin sampling image is obtained from the specified position of the face of the subject by using a professional optical sampling handle, and is transmitted to the detection system; the detection system analyzes the information of the subject to obtain a detection result, and processes the skin sampling imageto generate a picture feature code; the picture feature code is transmitted to a cloud, and undergoes big data matching analysis, and the cloud returns the analysis result to the detection system; theanalysis result and the detection result are combined according to an integration rule to form a final detection report; the detection system transmits the final detection report to the cloud, and the cloud pushes the final detection report to the WeChat or the customized APP for presentation; and corresponding care recommendations are pushed according to the final detection report. The method and the device have the advantages of high detection precision, realization of tracking of the detection report of the subject for a long term, and provision of corresponding nursing guidance for a useraccording to the detection result.

Description

technical field [0001] The invention relates to the field of skin detection and care, in particular to a detection and care method and device for facial skin sensitivity. Background technique [0002] Traditional optical detectors are based on digital image technology, directly acquire skin images with digital imaging equipment, and can only rely on the local database or pre-stored conditions for analysis. It has the following defects: First, the data conditions for comparative analysis are less, and the accuracy is lower. Second, the system is a stand-alone version, which cannot automatically update the local database and analysis conditions. Third, the test report of the tested person is only saved in the detector used at that time or not saved, the interaction with the tested person is almost zero, and there is no condition for the testing party to track the tested person's test report for a long time. The 4th, can't carry out nursing operation according to test result....

AI Technical Summary

Problems solved by technology

It has the following defects: First, the data conditions for comparative analysis are less, and the accuracy is lower

Second, the system is a stand-alone version, which cannot automatically update the local database and analysis conditions

Third, the test report of the tested person is only saved in the detector used at that time or is not saved, the interaction with the tested person is almost zero, and there is no condition for the testing party to track the tested person's test report for a long time

Fourth, it is impossible to perform nursing operations based on the test results

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