Electronic fancier network: algorithm of machine vision is more and more complex, it makes the embedded system with the matching phase to improve their efficiency, producing the necessary data in order to achieve the purpose of better analysis and.

In view of this, combined with the characteristics of the two similar application is in the concept of "embedded vision" rapidly into our life, has attracted more and more attention. At the beginning of 2012 Las Vegas International Consumer Electronics Show (CES), embedded vision was named one of the ten big change technology this year the consumer electronics market. According to the IMS Research predicts, to 2015, will have 3500000000 electron systems have visual ability, including intelligent mobile phone, TV and automotive driver assistance system (ADAS) etc..

The so-called "embedded vision", refers to a kind of machine by visual method to understand the surrounding environment, involves two main technologies: embedded systems and computer vision (sometimes referred to as machine vision). The following Xiaobian learn together under the embedded visual application of past life! [details]

However, due to the lack of common standards, resulting in the development of embedded vision technology is blocked, only the compatible with all level standard, and the selection of processor categories of strict control, can be truly open and popularity of embedded visual application. [details]

Although few specifically for the embedded visual application chip, however, these applications are more and more used for high performance, cost-effective processing chip, the other application development includes a digital signal processor, CPU, FPGA and GPU etc..