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Everyone’s skin is different, and different skin types require different skincare and haircare products. With the increasing demand for customised ingredients of personal care products, such as personalised perfumes, lipsticks and candles etc;


Feu keeps pace with the market change, providing customised skincare and haircare concept, allowing customers to add functional boosters at a reasonable price, create your own unique formula to achieve perfect youthful-looking skin.


The Theory of AI Skin Analysis Technology 


AI skin analysis technology is based on a combination of computer vision, machine learning, and image processing techniques. The goal of the technology is to analyse skin images and identify patterns and features that are associated with different skin conditions, such as acne, wrinkles, and dark spots. To achieve this, we use deep learning algorithms, which are a type of machine learning algorithm that are particularly effective at analysing visual data. Deep learning algorithms are composed of multiple layers of artificial neurons that work together to recognize patterns and features in the data. 


These deep learning algorithms are trained on large datasets of skin images, carefully labelled with information about the skin condition present in the image, such as the presence or absence of acne, the severity of wrinkles, or the size of dark spots. The algorithm uses this labelled data to learn to recognize patterns and features that are associated with these skin conditions. Once the algorithm has been trained, it can be used to analyse new images of skin and provide an assessment of the skin's condition. To do this, the algorithm breaks down the image into smaller parts, such as individual pixels or patches of skin. It then analyses each part of the image to identify patterns and features that are associated with specific skin conditions.


Finally, the algorithm combines all of the information it has gathered to provide an overall assessment of the skin's condition. This assessment might include information about the presence and severity of specific skin conditions, as well as recommendations for personalized skincare products or routines that could help improve the skin's health.


Overall, our skin analysis technology is a powerful tool for helping people understand their skin better and make more informed decisions about their skincare. By using deep learning algorithms and other advanced image processing techniques, we are able to provide accurate and personalised skin analysis that can help people achieve healthier, more radiant skin.