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The listing below showcases the most recently published Embedded Vision Academy content associated with various Embedded Vision Alliance member companies. Reference the links on the right side of this page to access the full suite of embedded vision content, sorted by member company

8tree

Arun Chhabra of 8tree delivers a presentation at the February 2017 Embedded Vision Alliance Member Meeting.

Academy
Algolux

Differences between images intended for human viewing and for computer analysis factor into vision camera hardware and software design.

Academy
Allied Vision

Michael Melle and Felix Nikolaus of Allied Vision deliver an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Academy

Paul Maria Zalewski of Allied Vision delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Academy
AMD

Allen Rush of AMD delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy

The substantial parallel processing resources in modern GPUs makes them a natural choice for implementing vision-processing functions.

Academy
Analog Devices

Rajesh Mahapatra of Analog Devices delivers a technical presentation at the May 2014 Embedded Vision Summit.

Academy

Attendees of the 2012 HOT CHIPS symposium recently learned about Analog Devices’ new BF60x family of video and vision processors.

Academy
ARM

Tim Ramsdale of ARM delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.

Academy

Tim Hartley of ARM delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Academy
Basler

Cameras, along with the interfaces that connect them to the remainder of the system, are critical aspects of any computer vision design.

Academy

Gerrit Fischer of Basler delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy
BDTI

Shehrzad Qureshi of BDTI delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.

Academy

Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.

Academy
Cadence

Frank Brill of Cadence and the Khronos Group delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Academy

Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.

Academy
CEVA

Ben Weiss of CEVA delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy

Yair Siegel of CEVA delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy
Embedded Vision Alliance

The Embedded Vision Alliance's June 20, 2017 email newsletter edition covers a diversity of embedded vision technology and product topics.

Academy

Neil Trevett of the Khronos Group and NVIDIA delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Academy
Imagination Technologies

Paul Brasnett of Imagination Technologies delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy

The substantial parallel processing resources in modern GPUs makes them a natural choice for implementing vision-processing functions.

Academy
Infineon

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy
Intel

Jeff McVeigh of Intel delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.

Academy

Vadim Pisarevsky of Intel delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Academy
LUXOFT

Alexey Rybakov of Luxoft delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy
MathWorks

Anavai Ramesh of Intel and Avinash Nehemiah of MathWorks deliver a technical presentation at the May 2016 Embedded Vision Summit.

Academy

Avinash Nehemiah of MathWorks delivers a technical presentation at the May 2014 Embedded Vision Summit.

Academy
Mentor

Advanced memory technologies such as Mentor Graphics' coolSRAM-1T are valuable in embedded vision designs.

Academy
Movidius

Cormac Brick of Intel's Movidius Group delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Academy

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy
NVIDIA

Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

Academy

Elif Albuz of NVIDIA delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy
NXP

Real-time assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are now possible

Academy

Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

Academy
ON Semiconductor

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy

Robin Jenkin of ON Semiconductor delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy
PTC

Jay Wright of PTC delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting.

Academy
Qualcomm

Michael Mangan of Qualcomm delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy

Raj Talluri of Qualcomm Technologies delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy
Synopsys

Pierre Paulin of Synopsys delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Academy

Tom Michiels of Synopsys delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Academy
Tend

Image processing can optionally take place within the edge device, in a network-connected cloud server, or subdivided among these locations.

Academy

Herman Yau of Tend delivers a technical presentation at the May 2015 Embedded Vision Summit.

Academy
Texas Instruments

Image processing can optionally take place within the edge device, in a network-connected cloud server, or subdivided among these locations.

Academy

Cameras installed around a vehicle exterior, along with cost-effective, powerful and energy-efficient processors, deliver numerous benefits.

Academy
videantis

Cameras, along with the interfaces that connect them to the remainder of the system, are critical aspects of any computer vision design.

Academy

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy
Xilinx

Image processing can optionally take place within the edge device, in a network-connected cloud server, or subdivided among these locations.

Academy

Vinod Kathail of Xilinx delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Academy