There is no limit to perfection, so we are proud to introduce a new feature in the TINT Virtual Makeup Try-On Platform — skin care effect. While everything is obvious with virtual makeup — you just look into the camera like a mirror with a finished look, how can virtual try-on help you choose a skincare routine? Well, we have a one-of-a-kind solution for you.
TINT stands out among other virtual makeup try-on platforms with unique and innovative features. With automated seasonal color analysis, the platform can detect a user's personal color palette and provide personalized AI makeup recommendations. Additionally, TINT offers the most realistic product color representation, giving users an accurate visual of how a cosmetic product would look on their skin.
Another prominent feature of TINT is its speedy cosmetics digitization process, which takes as little as 48 hours for the entire collection. This enables cosmetic brands to quickly and efficiently add their products to the platform, allowing for greater exposure and accessibility to potential customers. But we decided to offer more.
With skincare being dominant in the beauty industry, incorporating 42% of the market share, online shopping for non-decorative cosmetics is challenging. Buyers could only rely on marketing claims and descriptions featured on the retailer's website or product. The only solution to test the product was swatching it in the physical store. However, even this test could only give buyers basic sensations like smell and texture. But what about the effect?
Banuba, as a leading provider of augmented reality (AR) and computer vision technologies, reinvented the concept of virtual try-on for skin care. The cutting-edge skin care effect in TINT will revolutionize how customers visualize a particular skin care routine affecting their skin condition.
This innovation is expected to benefit both customers and cosmetic companies. It will help customers make more informed purchasing decisions, as they will better understand how a product will affect their skin. This can reduce the likelihood of unsatisfactory purchases and returns. For cosmetic companies and retailers, it will provide a competitive edge by allowing them to showcase the unique benefits of their products more interactively and engagingly.
How Does Skin Care Effect in TINT Work?
Banuba's proven experience with AI for segmentation and facial tracking, combined with patented technologies, has allowed the AI to clearly and precisely localize skin problems (acne, blemishes, pigmentation, wrinkles, dryness, discoloration, and other issues) and demonstrate the effects of short-term and long-term cosmetic product use on skin health.
TINT kills two birds with one stone. It analyzes each client's skin condition and shows personalized results to avoid product disappointment, returns, and complaints for unreasonable expectations. Besides, it offers interaction and engagement that no catalog can — no matter how true-to-life it looks. Finding the right skincare products and implementing a new beauty routine has never been easier.
What's more, we at Banuba understand the importance of imaging accuracy and the impact of light on the quality of results. For example, insufficient precision can lead to errors in detailing the effect — small wrinkles in the corners of the eyes, enlarged pores, etc. That's why TINT uses image enhancement to combat camera imperfections. This allows clients to use the new feature on any device, even with a low-quality camera.
We make TINT as inclusive and accessible to users of all skin tones. The platform algorithm is trained to render true-to-life results even in low-light conditions without distorting colors. TINT is already equipped with an automated seasonal color analysis that allows you to determine a customer's color type with 80%+ accuracy based on a photo. This plays an important role in imaging not only decorative but also caring cosmetics, as some creams have a lightening effect to combat hyperpigmentation, and the result will be different for each consumer.
As a result of using the new skin care effect by TINT, users will be able to see the invisible — the individual outcome of cosmetic products on their skin type and imperfections. Moreover, AI, by analyzing the overall condition of the skin, can offer personalized recommendations for skin care cosmetics. According to our research, recommendations can boost sales and increase the average order value by 30%.
The new feature is currently undergoing its final tests and will become available to all existing and new TINT users shortly. Meanwhile, you can have a sneak peek at the solution.
