Detection nursing method and device based on face skin data

Abstract

The invention discloses a detection nursing method and device based on face skin data. The method comprises the steps that a testes person scans a QR code by using WeChat or a customized APP, and transmits the information of the tested person to a detection system; a professional optical sampling handle is used for obtaining a skin sample image at a specified position of the face of the tested person and the image is transmitted to the detection system; the detection system analyzes the image to obtain a detection result, and extracts a standard feature code from the skin sample image; a standard feature code is transmitted to a cloud side for big data matching analysis, and the cloud side returns an analysis result to the detection system; the analysis result and the detection result areintegrated according to a comprehensive rule to form a final test report; the detection system transmits the final test report to the cloud side, and the cloud side pushes the final test report to WeChat or the customized APP for presentation; and the corresponding care is pushed according to the final test report. The system is high in detection precision, can track the test report of the testedperson for a long time, and can provide corresponding nursing guidance for the user according to the test result.

Description

technical field [0001] The invention relates to the field of skin detection and care, in particular to a method and device for detection and care of facial skin data. 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. C...

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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