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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


	"A Multi-purpose Vision Processor for Embedded Systems," a Presentation from Allied Vision Michael Melle and Felix Nikolaus of Allied Vision deliver an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"A New Generation Vision Camera for Embedded Systems," a Presentation from Allied Vision Paul Maria Zalewski of Allied Vision delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

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: Faster Ways to Optimize Software for Advanced Mobile Computing Platforms," a Presentation from ARM Roberto Mijat of ARM delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"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.

Au-Zone Technologies


	"Implementing an Optimized CNN Traffic Sign Recognition Solution," a Presentation from NXP Semiconductors and Au-Zone Technologies Rafal Malewski of NXP and Sébastien Taylor of Au-Zone deliver a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.

Basler


	"Time of Flight Sensors: How Do I Choose Them and How Do I Integrate Them?," a Presentation from Basler Mark Hebbel of Basler delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.
	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.

BDTI


	Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.
	"Demystifying Deep Neural Networks," a Presentation from BDTI Shehrzad Qureshi of BDTI delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.

Cadence


	"Techniques to Reduce Power Consumption in Embedded DNN Implementations," a Presentation from Cadence Samer Hijazi of Cadence delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Scalable Neural Network Processors for Embedded Applications," a Presentation from Cadence Pulin Desai of Cadence delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

CEVA


	"Fast Inference in Low Power Systems via CEVA's Deep Neural Network Solution," a Presentation from CEVA Yair Siegel of CEVA delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"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.

Embedded Vision Alliance


	"How to Choose a 3D Vision Technology," a Presentation from Carnegie Robotics Chris Osterwood of Carnegie Robotics delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.
	"Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry," a Presentation from Lux Research Mark Bünger of Lux Research delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.

Imagination Technologies


	"Training CNNs for Efficient Inference," a Presentation from Imagination Technologies Paul Brasnett of Imagination Technologies delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"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.

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


	"Designing Deep Neural Network Algorithms for Embedded Devices," a Presentation from Intel Minje Park of Intel delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World," a Presentation from Intel Anders Grunnet-Jepsen of Intel delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

LUXOFT


	"Deep Learning Beyond Cats and Cars: Developing a Real-life DNN-based Embedded Vision Product for Agriculture, Construction, Medical, or Retail," a Presentation from Luxoft Alexey Rybakov of Luxoft delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"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.

MVTec


	Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.

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


	"Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles," a Presentation from NXP Semiconductors Ali Osman Ors of NXP Semiconductors delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Implementing an Optimized CNN Traffic Sign Recognition Solution," a Presentation from NXP Semiconductors and Au-Zone Technologies Rafal Malewski of NXP and Sébastien Taylor of Au-Zone deliver a Technical Insights presentation at the May 2017 Embedded Vision Summit.

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


	"Always-on Vision Becomes a Reality," a Presentation from Qualcomm Research Evgeni Gousev of Qualcomm Research delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"Computer Vision and Machine Learning at the Edge," a Presentation from Qualcomm Technologies Michael Mangan of Qualcomm Technologies delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Synopsys


	Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.
	"Designing Scalable Embedded Vision SoCs from Day 1," a Presentation from Synopsys Pierre Paulin of Synopsys delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Tend


	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.
	"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


	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.
	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.

Thundersoft


	"The Power of a Turnkey Camera Solution: Introduction to the Camera Development Kit", a Presentation from Thundersoft Fan Wang of Thundersoft delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

videantis


	"Computer-vision-based 360-degree Video Systems: Architectures, Algorithms and Trade-offs," a Presentation from videantis Marco Jacobs of videantis delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	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.

Xilinx


	Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.
	"OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision," a Presentation from Xilinx Nick Ni of Xilinx delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

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