"Beauty Tech" is a portmanteau of "Beauty" and "Technology." It refers to the field that utilizes advanced technologies such as artificial intelligence, virtual reality, augmented reality, the internet, and more to develop and enhance beauty products and services. Beauty Tech is primarily used to meet consumer beauty-related demands and to develop better cosmetics and skincare products.
Due to the difficulty of visiting skincare salons and beauty clinics following the COVID-19 pandemic, there has been a growing interest in home beauty devices. According to the South Korean economic journal 'Seoul Economy,' the domestic market size for home beauty devices in 2022 reached approximately 1.6 trillion Korean won, which is about 20 times higher than the 80 billion won recorded in 2013. The global home beauty device market has also been growing rapidly, with an average annual growth rate of 19.1%. This significant growth appears to be influenced by the consequences of the COVID-19 pandemic.
The convenience of being able to perform skincare routines at home and the reasonable prices are the main reasons for this trend.
Since the release of vibrating puffs for even application of foundation and other cosmetics on the skin in the early 2010s, Beauty Tech has rapidly evolved over the past decade, undergoing changes in cosmetic ingredient analysis, personalized cosmetics, and various beauty devices. The integration of smartphone cameras and purchase services has also contributed significantly to the advancement of Beauty Tech by eliminating constraints of time and location for customers. So, what kinds of technologies and services can be found within Beauty Tech? Let's explore with various examples.
Smart Beauty Devices:
Using technologies such as smart mirrors, skin measurement devices, and smart brushes, these devices analyze skin conditions and provide personalized beauty advice to users.
Smart beauty devices utilize the latest technology to improve skincare and beauty routines and offer tailored advice to users. Representative examples include LG Pra.L's DermaCera and Mediqu's AgeR Premium 5 series. They primarily perform functions such as analyzing skin conditions, recommending skincare regimens, and simulating makeup styles. Here are explanations of various common types of smart beauty devices and their functions.
1️⃣ Smart Mirror: A smart mirror scans the user's face to analyze the condition of the skin and identify key skin issues. These mirrors detect skin type, wrinkles, freckles, and more, providing personalized skincare recommendations.
2️⃣ Smart Brush: Used to improve the makeup application process and enhance precision. These brushes collect information about the user's skin through sensors and cameras, helping to apply makeup more evenly.
3️⃣ Skin Care Device: Smart devices offering various skincare functions. They use cleansing, massages, micro-vibrations, and more to improve skin condition and revitalize it.
4️⃣ AR/VR-Based Makeup Simulation: Utilizes virtual reality (VR) or augmented reality (AR) to enable users to simulate and test various makeup styles. This allows users to preview which makeup style suits them best.
5️⃣ AI Analysis and Recommendations: Some smart beauty devices employ artificial intelligence (AI) to monitor the user's skin condition in real-time and provide personalized skincare and makeup recommendations.
Virtual Makeup Simulation:
Virtual reality (VR) or augmented reality (AR) is used to simulate and test various makeup styles, similar to the Instagram filters provided by META. Virtual makeup simulation utilizes computer graphics and image processing technology to apply virtual makeup to the user's face and visually simulate different looks.
1️⃣ Principle and Operation: It begins by recognizing the user's face and extracting facial features. Then, based on these facial features, various makeup products and styles are applied to the user's face. Computer graphics software is used for this purpose, simulating makeup products such as skin tone, lipstick, eyeshadow, and blush.
2️⃣ Personalized Recommendations: Some virtual makeup simulation platforms consider the user's facial shape, skin tone, eye color, and other factors to recommend personalized makeup styles. This helps users find makeup that complements their appearance.
3️⃣ Simulation and Adjustments: Users can choose their desired makeup style and use simulations to see how it will look in advance. They can also adjust parameters like color, intensity, and other makeup variables to perfect their desired look.
4️⃣ Online and App-Based Tools: Virtual makeup simulation can be accessed through online websites or mobile apps. Many cosmetic brands and retailers offer these tools to help consumers test makeup before making purchasing decisions.
AI-Based Beauty Product Recommendations:
AI algorithms are utilized to analyze the user's skin type and preferences to recommend personalized skincare and makeup products.
AI-based beauty product recommendations analyze factors like the user's skin type, skin condition, preferences, and more to suggest personalized beauty products. This technology aims to assist consumers in making better product choices in the beauty industry and provide tailored skincare recommendations to those looking to address specific skin concerns. ArtLab's SkinChat, for example, recommends products tailored to the user's skin issues.
These are the principles and advantages of AI-based beauty product recommendations.
Data Collection: AI-based beauty product recommendation systems first collect data on various beauty products and user skin data. This data can include product ingredients, skin characteristics, user reviews, and preferences.
1️⃣ Data Analysis: The collected data is analyzed using machine learning and artificial intelligence algorithms to identify patterns and relationships. For example, the system may learn how a specific skin type reacts to certain ingredients.
2️⃣ Personalized Recommendations: When users input information about their skin type, preferences, and skin condition, the AI uses this information to recommend personalized beauty products. These recommendations are adjusted based on factors such as skin type, sensitivity, existing skin issues, and user preferences.
3️⃣ Feedback Loop: When users use the recommended products and provide feedback, the system uses this information to further improve its recommendations. This feedback loop allows the system to continuously learn and provide better product recommendations.
Personalized Care: AI-based recommendations assist users in optimizing their individual skin care routines, helping to improve skin issues and maintain healthier skin.
1️⃣ Efficient Shopping: Beauty product recommendations streamline the product catalog to match individual users' needs, making product selection and purchasing more efficient.
2️⃣ Reliable Product Selection: AI leverages knowledge about product ingredients and skin conditions to assist users in selecting more suitable products for their skin.
3️⃣ Increased Customer Loyalty: Beauty brands and retailers can enhance customer loyalty by offering personalized recommendation systems, improving the customer experience, and increasing repeat purchases.
ArtLab's 'SkinChat' uses state-of-the-art AI technology to assist consumers interested in your beauty brand in obtaining a variety of information. If you want to provide a department store-like experience with a personal seller for each buyer, click the 'Get a Quote' button now. Don't fall behind the trend; introduce a beauty tech chatbot with vision AI technology.