Briefly describe the application of machine vision technology in the cosmetics industry

 In the skin care products and cosmetics industries, it has gradually become a necessity in people's daily lives. One of the functions of cosmetics is to regulate skin texture. Skin texture is an important factor in determining the beauty of skin. Image analysis of skin surface morphology can be used to evaluate the improvement effect of cosmetics on rough skin. In the past, most evaluations were based on feeling, but in recent years, evaluations using machine vision have increased. For example: use image processing technology to evaluate the effectiveness of cosmetics on the skin, quantify facial chloasma and wrinkles, measure hair growth rate or skin cleansing effect, etc.

Using skin care products can improve the roughness and homogeneity of the skin to some extent. For example, five children aged 1 to 6 years old were given baby skin care products and other products on one side of their faces once a day, and nothing on the other side. After 4 weeks, the skin surface replica images before and after use were removed for analysis. As a result, the skin lines and bumps in the area where the cosmetics are applied become more obvious, the symmetry of the skin lines is restored, and the skin texture becomes better. Machine vision systems can be used to evaluate the effectiveness of general skin care products.
　　Cosmetic efficacy testing equipment based on machine vision technology can measure skin surface texture and scales and directly study the surface morphology of the skin. When studying texture, the skin is directly irradiated with weak ultraviolet light with a wavelength of 320nm to 400nm from a light source (UV stroboscope) installed on the sensor unit, and then a CCD industrial camera is used to acquire skin surface images, and various parameters are calculated after image processing. , used to study the morphology of the skin surface.
　　For example, when studying skin scales, turn the operating ring and use the scattering plate to diffuse the UV light from the light source again. Because the light hits the skin surface from a low angle, the skin lines are not reflected, only the surface scales are illuminated. Since the brightness of the scaly area is higher than that of the surrounding area, after binary processing, this part was extracted and quantified, and the effectiveness of the cosmetics was evaluated from the changes in the amount of scaly areas. When evaluating the effectiveness of cosmetics, it is necessary to compare the same area before and after use, and it is important to improve the matching accuracy of the images.
　　Machine vision image processing technology has many uses in addition to measuring the effectiveness and efficacy of cosmetics. For example, skin temperature distribution measurement is used to study massage/massage effects, moiré three-dimensional measurement is used to study skin sagging, or makeup defects are studied from changes in skin tone under makeup. It can be said that the footprints of machine vision have spread to every corner of our lives, making our lives safer and better. The popularization and application of its related technologies have become the development trend of technological progress.

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