Provider

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


	"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.
	"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.

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


	"Demystifying Deep Neural Networks," a Presentation from BDTI Shehrzad Qureshi of BDTI delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.
	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.

Cadence


	"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.
	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.

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


	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.
	"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.

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


	"Vision for All?," a Presentation from Intel Jeff McVeigh of Intel delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.
	"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.

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


	"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.
	"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.

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.

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


	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.
	"Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts," a Presentation from Xilinx Vinod Kathail of Xilinx delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Search

Provider

Subscribe to the Embedded Vision Insights Newsletter