Clay AIR hand tracking and gesture recognition technology, which is already optimized for Qualcomm Snapdragon 845 and 865, is now compatible with the latest Intel’s on-chip neural accelerator Movidius Myriad X.
Hand tracking and gesture recognition integration made easier
OEMs will be able to add basic gesture recognition features on top of devices equipped with an RGB or monochrome camera by plugging the Movidius Myriad X stick into the device’s USB port.
For upcoming products, OEMs can choose to embed the neural accelerator chip and Clay AIR’s technology directly into the camera module, for increased performance.
A power-efficient option for lightweight devices
Because the computing is done directly on the Movidius chip, Clay AIR’s essential gesture features nearly need to use the CPU. The technology therefore preserves the battery without compromising the accuracy of our machine learning models, making it a power-efficient option for corporates looking to add basic gesture controls into lightweight devices with limited computing power.
The current version enables the recognition and tracking of one hand and simple gestures such as grab, pinch, swipe, and more, including limitless customization.
Make gesture recognition available for a wide range of use cases
The ability to run Clay AIR machine learning models on the Movidius Myriad X opens up a wide range of use cases, making it possible to add hand interaction features to any device with a USB port, such as self-service kiosks and public interfaces, as well as lightweight computer vision based devices such as smart cameras, robot assistants, drones and smart glasses.
Clay Reality, the hardware-agnostic solution for hand tracking and gesture recognition in AR and VR
Clay AIR AR and VR hardware-agnostic solution enables users to interact with virtual interfaces, sketch and highlight in virtual worlds, immerse with organic in-game mechanics and engage with 3D objects.
ClayReality powers high-end immersive experiences and high-value engagement leveraging cameras and sensors already on board.
