Facial analysis and detection method

Abstract

The invention provides a facial mask analysis and detection method which comprises the following steps: step 1, dropwise adding facial mask liquid drops to be detected into a circular glassware for microwave heating to obtain image information after microwave heating; and 2, analyzing and processing the image information by using an image processing system combined with deep learning to obtain ananalysis and detection result. According to the detection method, the detection efficiency is improved in a microwave heating mode, and the detection precision is improved in a mode of processing image information through an image processing system combined with deep learning.

Description

Technical field [0001] The present invention relates to the technical field of detection, in particular to a method for analyzing and detecting facial masks. Background technique [0002] Cosmetics have become an indispensable existence in daily work and life, and people are paying more and more attention to the quality of cosmetics. In recent years, the scale of cosmetics has exceeded 10 billion yuan, showing a barbaric growth trend. Adding certain ingredients to cosmetics can ensure its functionality. However, some cosmetics companies are overly pursuing economic benefits, and the problem of inferior cosmetics has frequently been exposed. The safety of cosmetics should not be underestimated. Nowadays, there are many cosmetics on the market, good and bad; cosmetics micro-business chaos, the creation of international brands in two months, is even more harmful. In the face of mixed micro-business products, how to quickly identify cosmetic ingredients, determine whether there is ...

AI Technical Summary

Problems solved by technology

The existing detection methods are far from meeting the needs of social health supervision, and the research on cosmetic detection technology needs to be carried out more extensively and deeply.

[0003] Existing methods for detecting cosmetic ingredients mainly include gas chromatography, ion chromatography, gas chromatography-mass spectrometer, liquid chromatography mass spectrometry and thermogravimetric analyzer, etc., which have complex operation procedures, poor anti-interference ability, and low precision. Reduced accuracy, limited detection, etc.

Although the rapid detection technology as an auxiliary screening for accurate quantitative detection in the early stage can eliminate some unnecessary detection, save a lot of manpower and material resources for the later quantitative detection, and improve the detection speed, but because the current detection is mostly trace or trace detection, The requirements for instruments and personnel are very high, and the pre-treatment requirements for detection are also high

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