This company provides powerful camera software for accurate hand tracking and gesture recognition across any platform. Utilizing a 21-joint skeleton approach and breakthrough AI, the software supports static, dynamic, and drawing gestures with high fidelity. It is optimized for embedded deployment on low-cost processors, enabling sophisticated contactless interaction for diverse applications.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing contactless user interfaces using hand tracking and gesture recognition is challenging due to the complexity of accurately interpreting hand movements across different environments and hardware configurations. Existing solutions often require extensive data collection and specialized processors, leading to increased development costs and longer time to market.
Solution
Motion Gestures offers a camera-based software solution that enables precise hand tracking and gesture recognition for contactless interaction across various platforms and applications. Their technology utilizes a 21-joint hand skeleton model and AI algorithms to achieve high accuracy in gesture detection, even with low-cost processors and standard cameras. The software supports static, dynamic, and drawing gestures, and it can be integrated with existing systems to create intuitive user experiences in automotive, home automation, hospitality, and other industries. Motion Gestures' platform-agnostic approach reduces development costs and accelerates time to market by eliminating the need for specialized hardware or extensive data collection.
Target Audience
The primary target audience includes product developers and manufacturers in industries such as automotive, home automation, hospitality, and retail, who are looking to implement contactless user interfaces in their products and applications.
Features
- 21-joint hand skeleton model for precise hand tracking
- Support for static, dynamic, and drawing gestures
- Compatible with any camera type and position
- Optimized for deployment on low-cost processors (AI at the Edge)
- Gesture creation without extensive data collection
- Depth inference and hidden joint detection
- Integrable with joint-skeleton based body tracking
- Platform agnostic (any camera, processor, or OS)