Software-based gesture recognition solution for programmable 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, claim the companies.
Vision-based gesture recognition is fast becoming one of the most sought after technologies in the mobile and digital home industries, offering both semiconductors and OEMs a new area in which to differentiate their products and enable new and value-added features.
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 used 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.
Visit CEVA at www.ceva-dsp.com/ISP
Visit eyeSight Mobile Technologies at www.eyesight-tech.com