The startup develops a three-dimensional gesture analysis software that enables users to interact with virtual reality environments using finger and hand gestures without requiring additional hardware. This technology enhances user engagement in augmented reality and wearable computing by facilitating intuitive gesture control for seamless interaction with devices.
Funding
$3.7M 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
Existing hand interaction solutions in XR environments suffer from tracking inaccuracies, latency, and gesture recognition errors, leading to poor usability and scalability. Environmental factors such as lighting conditions and self-occlusion further compromise the reliability and overall user experience. In industrial settings, slow, reactive safety systems increase the risk of hand injuries when operating dangerous machinery.
Solution
ManoMotion provides vision-based AI software for real-time hand and body tracking and gesture control, designed to enhance human-machine interaction across various platforms. Their technology utilizes standard cameras and CPUs found in smart devices and industrial machines, eliminating the need for specialized hardware. For XR applications, ManoMotion's engine enables seamless gesture control for natural interaction. In industrial safety, their AI-certified technology predicts potential accidents by tracking hand movements in real-time, enabling proactive interventions and system shutdowns to prevent injuries. The software is hardware-agnostic and customizable, allowing integration with existing systems.
Target Audience
The primary target audience includes developers of VR/AR/XR applications, manufacturers of head-mounted displays and wearable devices, and industries utilizing robotics and automation, particularly those focused on enhancing safety in hazardous environments.
Features
- AI-powered hand and body tracking using standard RGB cameras
- Real-time gesture recognition with low latency
- 27 degrees of freedom (DOF) hand tracking engine for precise interaction
- Hand segmentation for realistic occlusion of virtual objects
- Support for skeleton tracking, providing joint positions in 2D or 3D
- Compatibility with Unity, Android, iOS, and Windows platforms
- Integration with AR Foundation for mobile AR development
- SaferHands solution for industrial machinery, triggering safety actions based on hand proximity
- Customizable gesture analysis to understand user intent