This report covers Vision Processing Units (VPUs) but what makes a processor a - vision - processor? In many regards "You'll know one when you see one" covers the situation but there are some things that can be specified.
Included in the definition are IP blocks such as a GPU (think Qualcomm or Nvidia) or a wideSIMD DSP (like Ceva or Tensilica), or a programmable camera pipeline (Apical or Intel). The term also includes full SoCs that combine one or more of the characteristics of the above IP blocks along with other functions such as Movidius and Inuitive which both add hardware acceleration of specific functions to their DSP-based blocks. Lastly, novel architectures such as Wave Computing which target a wider range of functions but are also well suited to acceleration of vision tasks are included.
The purpose and intent of this report is to progressively summarize the available hardware solutions for vision processing in a way that identifies their fundamental characteristics and capabilities without overloading the reader with too much technical detail. Engineers may want more but marketers and executives will find enough to keep them abreast of the field along with, hopefully, insightful and though-provoking commentary to help them develop a rounded view of the industry.
Each chapter of the report summarizes the vision technology offerings of one company, with a brief company description and a closing commentary that includes sections on market focus and penetration as well as the technologies themselves.
This study covers the technologies involved in machine vision (MV) systems, such as components that constitute a workable MV system, recent advances in the technologies involved, various traditional and new applications and global markets for these technologies and applications.
For more information about this newsletter visit http://www.researchandmarkets.com/research/hwg47q/the_visual