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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


	"Designing Vision Systems for Human Operators and Workflows," a Presentation from 8tree Arun Chhabra of 8tree delivers a presentation at the February 2017 Embedded Vision Alliance Member Meeting.

Algolux


	Image Quality Analysis, Enhancement and Optimization Techniques for Computer Vision Differences between images intended for human viewing and for computer analysis factor into vision camera hardware and software design.

Allied Vision


	Image Quality Analysis, Enhancement and Optimization Techniques for Computer Vision Differences between images intended for human viewing and for computer analysis factor into vision camera hardware and software design.
	Camera Interfaces Evolve to Address Growing Vision Processing Needs Cameras, along with the interfaces that connect them to the remainder of the system, are critical aspects of any computer vision design.

AMD


	"How Computer Vision Is Accelerating the Future of Virtual Reality," a Presentation from AMD Allen Rush of AMD delivers a business presentation at the May 2016 Embedded Vision Summit.
	Optimizing Computer Vision Applications Using OpenCL and GPUs The substantial parallel processing resources in modern GPUs makes them a natural choice for implementing vision-processing functions.

Analog Devices


	May 2014 Embedded Vision Summit Technical Presentation: "Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications," Rajesh Mahapatra, Analog Devices Rajesh Mahapatra of Analog Devices delivers a technical presentation at the May 2014 Embedded Vision Summit.
	Hot Chips Symposium Presentation Underscores Analog Devices' Commitment to Vision Applications Attendees of the 2012 HOT CHIPS symposium recently learned about Analog Devices’ new BF60x family of video and vision processors.

ARM


	"Computer Vision on ARM: The Spirit Object Detection Accelerator," a Presentation from ARM Tim Hartley of ARM delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	ARM Guide to OpenCL Optimizing Pyramid: The Test Method This chapter describes how to use the SDK and test the performance of optimizations.

Basler


	Camera Interfaces Evolve to Address Growing Vision Processing Needs Cameras, along with the interfaces that connect them to the remainder of the system, are critical aspects of any computer vision design.
	"Understanding Camera Subsystems for Your Embedded Vision System and Making the Right Choice," a Presentation from Basler Gerrit Fischer of Basler delivers a business presentation at the May 2016 Embedded Vision Summit.

BDTI


	Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.
	OpenVX Enables Portable, Efficient Vision Software OpenVX enables embedded vision application software developers to efficiently harness the processing resources available in SoCs and systems

Cadence


	Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.
	"The Road Ahead for Neural Networks: Five Likely Surprises," a Presentation from Cadence Dr. Chris Rowen of Cadence delivers a business presentation at the May 2016 Embedded Vision Summit.

CEVA


	"Video Stabilization Using Computer Vision: Techniques for Embedded Devices," a Presentation from CEVA Ben Weiss of CEVA delivers a technical presentation at the May 2016 Embedded Vision Summit.
	"Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Presentation from CEVA Yair Siegel of CEVA delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Embedded Vision Alliance


	"1,000X in Three Years: How Embedded Vision is Transitioning from Exotic to Everyday," a Presentation from the Embedded Vision Alliance Jeff Bier of BDTI and the Embedded Vision Alliance delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.
	"Video Cameras Without Video: Opportunities For Sensing With Embedded Vision," a Presentation from Michael Tusch Michael Tusch delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.

Imagination Technologies


	"Efficient Convolutional Neural Network Inference on Mobile GPUs," a Presentation from Imagination Technologies Paul Brasnett of Imagination Technologies delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.
	Optimizing Computer Vision Applications Using OpenCL and GPUs The substantial parallel processing resources in modern GPUs makes them a natural choice for implementing vision-processing functions.

Infineon


	Vision Processing Opportunities in Virtual Reality VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Intel


	"Making OpenCV Code Run Fast," a Presentation from Intel Vadim Pisarevsky of Intel delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Getting from Idea to Product with 3D Vision," a Presentation from Intel and MathWorks Anavai Ramesh of Intel and Avinash Nehemiah of MathWorks deliver a technical presentation at the May 2016 Embedded Vision Summit.

LUXOFT


	"Making Computer Vision Software Run Fast on Your Embedded Platform," a Presentation from Luxoft Alexey Rybakov of Luxoft delivers a technical presentation at the May 2016 Embedded Vision Summit.

MathWorks


	"Getting from Idea to Product with 3D Vision," a Presentation from Intel and MathWorks Anavai Ramesh of Intel and Avinash Nehemiah of MathWorks deliver a technical presentation at the May 2016 Embedded Vision Summit.
	May 2014 Embedded Vision Summit Technical Presentation: "How to Create a Great Object Detector," Avinash Nehemiah, MathWorks Avinash Nehemiah of MathWorks delivers a technical presentation at the May 2014 Embedded Vision Summit.

Mentor


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

Movidius


	"The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon," a Presentation from Intel's Movidius Group Cormac Brick of Intel's Movidius Group delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	Vision Processing Opportunities in Virtual Reality VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

NVIDIA


	Vision Processing Opportunities in Drones Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology
	"NVIDIA VisionWorks, a Toolkit for Computer Vision," a Presentation from NVIDIA Elif Albuz of NVIDIA delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

NXP


	Facial Analysis Delivers Diverse Vision Processing Capabilities Real-time assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are now possible
	Vision Processing Opportunities in Drones Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

ON Semiconductor


	Vision Processing Opportunities in Virtual Reality VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.
	"Image Sensors for Vision: Foundations and Trends," a Presentation from ON Semiconductor Robin Jenkin of ON Semiconductor delivers a technical presentation at the May 2016 Embedded Vision Summit.

PTC


	"What's Augmented? What's Reality?," a Presentation from PTC Jay Wright of PTC delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting.

Qualcomm


	"High-resolution 3D Reconstruction on a Mobile Processor," a Presentation from Qualcomm Michael Mangan of Qualcomm delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.
	"Is Vision the New Wireless?," a Presentation from Qualcomm Raj Talluri of Qualcomm Technologies delivers a business presentation at the May 2016 Embedded Vision Summit.

Synopsys


	Facial Analysis Delivers Diverse Vision Processing Capabilities Real-time assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are now possible
	"Using the OpenCL C Kernel Language for Embedded Vision Processors," a Presentation from Synopsys Seema Mirchandaney of Synopsys delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Tend


	"Vision-as-a-Service: Democratization of Vision for Consumers and Businesses," a Presentation from Tend Herman Yau of Tend delivers a technical presentation at the May 2015 Embedded Vision Summit.

Texas Instruments


	Smart Exterior Cameras Enhance Vehicle Safety, Security Cameras installed around a vehicle exterior, along with cost-effective, powerful and energy-efficient processors, deliver numerous benefits.
	Smart In-Vehicle Cameras Increase Driver and Passenger Safety Cameras located in a vehicle's interior, coupled with cost-effective and power-efficient processors, can deliver abundant occupant benefits.

videantis


	Camera Interfaces Evolve to Address Growing Vision Processing Needs Cameras, along with the interfaces that connect them to the remainder of the system, are critical aspects of any computer vision design.
	Vision Processing Opportunities in Virtual Reality VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Xilinx


	Camera Interfaces Evolve to Address Growing Vision Processing Needs Cameras, along with the interfaces that connect them to the remainder of the system, are critical aspects of any computer vision design.
	"Semantic Segmentation for Scene Understanding: Algorithms and Implementations," a Presentation from Auviz Systems Nagesh Gupta of Auviz Systems delivers a technical presentation at the May 2016 Embedded Vision Summit.

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