CEVA-XM4: Computer Vision One Step Closer to Human Vision

By Yair Siegel - CEVA Blog, Jun. 02, 2015 – 

The dawn of a new era of computer vision is taking cutting-edge technologies like augmented reality and holographic imaging from a desktop environment to mobile and embedded platforms, testing the limits of the existing hardware, typically comprising of CPUs and GPUs.

So far, CPUs and GPUs have taken the brunt for processing-intensive imaging algorithms as developers create new multimedia hooks in smartphones, tablets, wearables, surveillance gear and connected cars. However, innovations such as dual-camera designs, low-light shots and fast autofocus are not without compromises on part of both device OEMs and app developers.

Moreover, this pushes the limits of CPUs and GPUs, which are not designed for processing-intensive imaging algorithms. A repercussion of this is that apps consume too much power and eventually drain battery life. On the other hand, both CPU and GPU need to be extremely low power and highly optimized for their primary tasks. The ultimate solution to this design conundrum is a specialized IP processor that can work in the same basic architecture and seamlessly handle imaging and intelligent vision functions.

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