Clay AIR
Research Driven Innovation
Clay AIR delivers unparalleled hand tracking and gesture recognition solutions, commanding the future of interactive technology, driving innovation in the automotive industry, and powering the most advanced AR & VR immersive solutions.
The company is the result of over 10 years of research in Artificial Intelligence, Computer Vision and Human-Machine Interactions. We design and train our models with in-house proprietary tools to provide a fluid and intuitive user experience through state-of-the-art technology.
Benefits
Why Clay AIR?
Hardware Agnostic
Clay AIR’s software solutions are platform agnostic and easy to integrate into existing hardware.
Customizable
Forty pre-programmed simple and natural gestures with limitless customization for user experience and unique interfaces across verticals.
Efficient
Low latency with speeds faster than human perception. Battery saving with proprietary computer vision and machine learning techniques.
Accurate
The highest performance of hand tracking & gesture recognition technology. Up to 99% accurate on simple gestures and sequences according to ground truth and f-measure.
Information
Gesture Recognition
Hardware Compatibility
Inputs
- RGB
- Monochrome
- TOF
- IR/NIR
- Fisheye
Devices
- VR/AR HMDs
- Laptops
- PCs
- Tablets
- Smart TVs
- Robots
- Smart displays
- Smartphones
Compute
- CPU minimum: Snapdragon 425
- Memory minimum: 20 MB RAM
Software Compatibility
- Android
- iOS
- Mac OS
- Windows
- Unity
- ARCore
- ARKit
- Unix/Linux
- Ubuntu
Performance
Accuracy (Dependent on Hardware)
- Average 99% on simple trigger gestures and gesture sequences
- Average +/- 1% on on hand tracking
Latency (Dependent on Frames per Second)
1 frame is an app cycle. 16ms at 60 FPS, 8ms at 120 FPS
Distance
- Clay Analog: 7 – 8ft
- Clay ML: 12 – 15ft
Scalability
- 1 to 4 hands
- Extensive gesture library and the opportunity to create custom gestures