Site Resources

In-depth information about the embedded vision market, applications, technologies, products, and trends.

The content in this section of the website comes from Embedded Vision Alliance™ members and other industry luminaries. The Overview shows all of the content, sorted by date. Other tabs sort the material by type. If you'd like to contribute an original, in-depth article to the Alliance, propose your content in this section of the forum.


	"Vision for All?," a Presentation from Intel Jeff McVeigh of Intel delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.
	Deep Understanding, Not Just Deep Vision In the early days, computers were a lot slower, and the focus was on algorithmic ways of recognizing objects.
	CEVA Computer Vision DSP Powers Evomotion ROD-1 360° Video Camera Rockchip RV1108 visual processor with CEVA-XM4 DSP handles Evomotion’s high-resolution real-time stitching on-board.
	"This Changes Everything — Why Computer Vision Will Be Everywhere," a Presentation from ARM Tim Ramsdale of ARM delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.
	Embedded Vision Insights: June 20, 2017 Edition The Embedded Vision Alliance's June 20, 2017 email newsletter edition covers a diversity of embedded vision technology and product topics.
	"Moving CNNs from Academic Theory to Embedded Reality," a Presentation from Synopsys Tom Michiels of Synopsys delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"The OpenVX Computer Vision Library Standard for Portable, Efficient Code," a Presentation from Cadence Frank Brill of Cadence and the Khronos Group delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	Lifting the Veil on Hololens The opening keynote at the 2017 Embedded Vision Summit in Santa Clara was by Marc Pollefeys, who is a director of science at Microsoft.
	"The Vision Acceleration API Landscape: Options and Trade-offs," a Presentation from the Khronos Group Neil Trevett of the Khronos Group and NVIDIA delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	Cloud-versus-Edge and Centralized-versus-Distributed: Evaluating Vision Processing Alternatives Image processing can optionally take place within the edge device, in a network-connected cloud server, or subdivided among these locations.