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Each quarter, the Embedded Vision Alliance holds a member meeting; we spend the day networking & learning about new technologies & products.

Tools, techniques and paradigms optimizing memory-intensive streaming applications exist, but in general they are not widely known and used.

Will the iPhone 7 incorporate 3D vision using dual rear-facing cameras and depth-sensing capabilities for mapping and tracking applications?

There is no doubt cars will sooner or later simply become robots that take us places, but what will happen between now and then?

ADAS is becoming the new sweetheart of the automotive industry, driving most of the innovation within this enormous ecosystem.

Neural network algorithms have gained prominence in computer vision and other fields. The time may be ripe for neural network processors.

Embedded vision in robotics has the potential for drastically improving everything from mundane tasks to life’s most critical functions.

Alliance executive director Vin Ratford discusses educational resources for meeting the challenge of programming heterogeneous processors.

For demanding applications such as embedded vision, heterogeneous multicore architectures often yield the best bang for the buck (or Watt).

One great example of embedded vision's use in our lives is the vision-based safety features in advanced driver assistance systems (ADAS).