Human machine interface software enables advanced gesture recognition for CEVA-MM3101

June 26, 2012

CEVA, Inc. and eyeSight Mobile Technologies announced the availability of an optimized software-based gesture recognition solution for the CEVA-MM3101 imaging and vision platform. The combined solution is targeted at a broad range of smart devices including smartphones, tablets smart TVs, automotive infotainment systems and more. eyeSight’s software leverages the CEVA-MM3101 to offer substantial competitive advantages over alternative implementations of gesture recognition-based technology. As an example, the combined CEVA-eyeSight solution requires 20X less power consumption compared to an ARM Cortex-A9 based alternative solution.

eyeSight’s human machine interface (HMI) is claimed to be the most innovative interface technology available for embedded systems, utilizing the existing camera in any smart device to enable touch-free control. The CEVA-eyeSight solution supports multiple hand gestures as well as palm detection and tracking, supporting multiple users, up to 4.5 meters in distance away from the device and in low light conditions.

The entire solution incorporating eyeSight’s software and the CEVA-MM3101 requires less than 70MCycles for the complete gesture application, while consuming less than 20mW power in a 28nm process. To enable customers to further differentiate their solution, the fully programmable CEVA-MM3101 engine can be utilized to perform an array of additional vision-based functions in software, including face detection, eye tracking, 3D map creation, object tracking and image enhancement applications.

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