What are the technical bottlenecks of smart customized lipstick at present?

In terms of color accuracy
Color matching problem: Although the AI system can recommend the red number according to facial features, different light conditions, shooting equipment and subtle differences in skin color and other factors will affect the accuracy of the color recommendation. Sometimes the recommended color number works well in the virtual makeup trial, but the actual application is very different from the expectation.
Color mixing accuracy problem: It is difficult to achieve high precision when mixing custom lipstick colors through multiple primary colors. There may be subtle deviations between the deployed color and the target color, such as inconsistent color saturation and brightness, which will affect consumers’ satisfaction with the customized effect.

Virtual makeup techniques
Inaccurate image recognition: AI may make errors in facial recognition under complex backgrounds, such as when the user wears accessories such as hats and glasses, which may affect the system’s accurate capture and analysis of facial features, resulting in poor virtual makeup test effect. Moreover, for people of different races, skin color and facial features, the accuracy of recognition also needs to be improved, and there are cases of inaccurate recognition of some special facial features.
The effect of makeup testing is not real: The current virtual makeup testing technology is not realistic enough in the details of the texture and gloss of the lipstick. For example, it is difficult to truly show the actual effect of different lipstick textures such as matte, moisturizing, velvet and so on on the lips, as well as the reflection effect of lipstick in different angles of light, so that consumers can not completely accurately perceive the real look after makeup.
Formulation and texture customization
Limitations of formula development: Although it is possible to customize the moisturization and durability of lipstick according to some basic needs, it is still difficult to accurately meet the individual needs of each consumer for the formula. For example, for consumers with special lip care needs, such as dry and cracked lips, it is difficult to quickly develop exclusive formulas that fully meet their needs.
Unstable texture control: In the production of custom lipsticks, ensuring the consistency of texture is a challenge. There may be uneven texture of the same batch of customized lipsticks, or the texture of the lipsticks may change under different environmental conditions, such as softening or hardening in high or low temperatures.
Data processing and security
Low data processing efficiency: Smart customized lipstick involves a lot of user data processing, including facial images, skin color information, consumption preferences, etc. When the user traffic is large, the system may have problems such as slow data processing and delay, which affects the user experience and causes the delayed response of functions such as virtual makeup trying and color recommendation.
Data security risks: Consumers have concerns about the privacy and security of personal data. Collecting and storing sensitive information such as facial images of large numbers of users poses a risk of data breach. Once the data security system has loopholes, it may lead to the illegal acquisition and use of user data, causing consumers to worry about the use of smart customized lipstick services.