IMG develops a real-time virtual wearable technology that utilizes monocular camera-based gesture recognition and image processing algorithms to enable intuitive hand gesture interactions without additional hardware. This technology allows users to virtually try on products online, addressing the challenge of assessing fit and style in e-commerce.
Funding
Funding not disclosed
Founders
Product
Problem
E-commerce shoppers lack the ability to assess product fit and style when purchasing online, particularly for items like clothing, eyewear, and accessories, leading to uncertainty and potentially lower sales conversions. Traditional online shopping experiences do not provide a realistic way for customers to visualize how these items will look on them.
Solution
IMG develops real-time virtual try-on technology that uses a standard camera and computer vision algorithms to enable online shoppers to virtually try on products. The core technology leverages monocular camera-based gesture recognition and image processing to allow users to interact with the virtual products through intuitive hand gestures, without requiring any additional hardware. This allows customers to visualize how different products look on them in a realistic and interactive way, directly addressing the challenge of assessing fit and style in e-commerce.
Target Audience
The primary target audience includes e-commerce businesses in the fashion, eyewear, and accessories industries, as well as VR/AR application developers seeking to integrate gesture recognition capabilities.
Features
- Hand CV SDK: Enables hand gesture recognition using standard cameras on phones, tablets, and PCs.
- Real-time virtual try-on: Allows users to virtually try on clothing, eyewear, jewelry, and accessories.
- Cross-platform support: Compatible with mobile VR/AR environments.
- Face recognition: Precisely detects facial features for accurate virtual placement of items.
- Image recognition: Employs high-dimensional mathematical models for efficient and accurate object recognition.
- 3D real-time rendering engine: Renders high-resolution 3D models in real time.
- Fast face detection SDK: Detects facial key points, including eyebrows, eyes, nose, mouth, and face contours, in under 20ms.