SMART MIRROR STYLING SYSTEM AND METHOD

Smart overview of the Invention

The smart mirror styling system integrates advanced technology to offer a personalized clothing selection experience. Utilizing a camera with imaging algorithms, it creates a multidimensional body mask to capture a user's size and shape. This data is processed by artificial intelligence (AI) to recommend clothing items that best fit the user from a database, considering personal style preferences. The system then overlays these clothing items on a live image of the user, allowing them to virtually try on outfits.

Background

Traditional online shopping for clothing presents challenges due to inconsistent sizing and the inability to visualize how clothes fit on different body types. Existing technologies like high-tech mirrors and virtual avatars do not adequately solve these issues. The smart mirror system addresses this gap by offering a three-dimensional shopping experience that accurately reflects the user's body shape and size, aiming to reduce the high return rates of online purchases.

Functionality

The system involves capturing the user's image through cameras, creating a data mask, and using AI to correlate this with clothing data. It displays scaled images of selected clothing items on a smart mirror, allowing users to see how different styles look on them. The system also interprets facial expressions to determine user satisfaction, automatically adjusting recommendations if negative emotions are detected. This interactive process continues until a positive response is achieved, enhancing the shopping experience.

Components

The smart mirror system comprises several components: a computer running imaging software, a touch-enabled display, front-facing cameras, and a database of clothing items. It utilizes AI learning algorithms to match clothing styles with user preferences and body measurements. Additionally, it features an inventory system for managing wardrobe items without manual input from the user.

Innovative Features

The system's unique capabilities include emotion detection and response mechanisms, which can provide positive affirmations or adjust clothing suggestions based on detected emotions. It also offers gamified shopping experiences and wardrobe management tools. By compiling user data over time, the system enhances its predictive accuracy for future style recommendations, providing a tailored and engaging shopping experience.