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A change has come to consumer electronics. Once confined to the desktop, processing-intensive algorithms for image enhancement, computational photography and computer vision have moved en masse to camera ready smartphones, tablets, wearables and other embedded mobile devices. This movement has already hit the limits of today’s underlying hardware ability to keep pace in terms of performance, space and energy efficiency, yet we are only seeing the tip of the iceberg. A clear and tangible indicator of recent advances in mobile imaging and vision that are pushing these limits of design is the dual-camera smartphone, with its accompanying sensor and signal-chain processing for 3D vision and scanning, along with many other image-enhancement features. While consumers may believe they are coming closer to the ideal camera-plus-phone converged solution, designers and equipment manufacturers understand that compromises have been made as the increasingly advanced algorithms are simply relying upon the pre-existing hardware. This hardware, typically comprising a CPU and a GPU, was not designed to support such processing-intensive imaging algorithms, so it is forcing developers to compromise on features and image quality to match the processing capabilities of the hardware. Even so, the total application continues to consume too much power and drastically shortens battery life, too much so for the still unwary user. As newer and more-complex algorithms develop to meet both consumer demand for increased functionality as well as manufacturers’ need for differentiation, an alternate approach to the underlying vision processing architecture is required if the delicate balance between functionality and acceptable battery life is to be maintained. This alternate approach relies on the adoption of dedicated, on-chip vision processors that are able to cope with both current and future complex imaging and vision algorithms. CEVA-XM4 is exactly that, a fully programmable processor that was designed from the ground up to accelerate the most demanding image-processing and computer-vision algorithms. This document supplies an overview of the CEVA-XM4 processor’s capabilities, architecture, features, target applications, use cases and code examples.

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