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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


	"The Evolution of Depth Sensing: From Exotic to Ubiquitous," a Presentation from 8tree Erik Klass of 8tree delivers a presentation at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum.
	"Designing Vision Systems for Human Operators and Workflows: A Case Study," a Presentation from 8tree Arun Chhabra of 8tree delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.

AImotive


	"How Simulation Accelerates Development of Self-Driving Technology," a Presentation from AImotive László Kishonti of AImotive delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.
	Data Sets for Machine Learning Model Training For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it.

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 New Generation of Camera Modules: A Novel Approach and Its Benefits for Embedded Systems," a Presentation from Allied Vision Technologies Paul Maria Zalewski of Allied Vision Technologies delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.
	Beyond-visible Light Applications in Computer Vision Expanding the analysis range to encompass the infrared and/or ultraviolet spectrum can be of great benefit in a range of vision applications

AMD


	"Bad Data, Bad Network, or: How to Create the Right Dataset for Your Application," a Presentation from AMD Mike Schmit of AMD delivers a Fundamentals presentation at the May 2018 Embedded Vision Summit.
	"From Feature Engineering to Network Engineering," a Presentation from ShatterLine Labs and AMD Auro Tripathy of Shatterline Labs, representing AMD, delivers a Fundamentals presentation at the May 2018 Embedded Vision Summit.

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


	"Project Trillium: A New Suite of Machine Learning IP," a Presentation from Arm Steve Steele of Arm delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"Even Faster CNNs: Exploring the New Class of Winograd Algorithms," a Presentation from Arm Gian Marco Iodice of Arm delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.

Au-Zone Technologies


	"Deploying CNN-based Vision Solutions on a $3 Microcontroller," a Presentation from Au-Zone Technologies Greg Lytle of Au-Zone Technologies delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.
	Implementing Vision with Deep Learning in Resource-constrained Designs This article reviews deep learning implementation options such as heterogeneous processing, network quantization, and software optimizations

Basler


	"Designing Vision Front Ends for Embedded Systems," a Presentation from Basler Friedrich Dierks of Basler delivers a Fundamentals presentation at the May 2018 Embedded Vision Summit.
	"Building Up a Start-up in Embedded Vision: Lessons from Machine Vision," a Presentation from Basler Arndt Bake of Basler delivers a Business Insights presentation at the May 2018 Embedded Vision Summit.

BDTI


	"The Four Key Trends Driving the Proliferation of Visual Perception," a Presentation from the Embedded Vision Alliance Jeff Bier of BDTI and the Embedded Vision Alliance delivers a Business Insights presentation at the May 2018 Embedded Vision Summit.
	Data Sets for Machine Learning Model Training For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it.

Cadence


	OpenVX Implementations Deliver Robust Computer Vision Applications This article showcases OpenVX implementations leveraging multiple hardware platforms and both traditional and deep learning algorithms.
	OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities This article focuses on recent updates to OpenVX, , along with the set of extensions that OpenVX implementers can optionally provide.

Camio


	"Blending Cloud and Edge Machine Learning to Deliver Real-time Video Monitoring," a Presentation from Camio Carter Maslan of Camio delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.
	"Combining Cloud and Edge Machine Learning to Deliver the Future of Video Monitoring," a Presentation from Camio Carter Maslan and Luca de Alfaro of Camio deliver a presentation at the February 2017 Embedded Vision Alliance Member Meeting.

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.

Codeplay Software


	"Programming Techniques for Implementing Inference Software Efficiently," a Presentation from Codeplay Software Andrew Richards of Codeplay Software delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.

Crossbar


	"New Memory-centric Architecture Needed for AI," a Presentation from Crossbar Sylvain Dubois of Crossbar delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.

Embedded Vision Alliance


	Computer Vision for Augmented Reality in Embedded Designs By effectively using all compute resources, along with leveraging software toolsets, it's possible to deliver robust AR in embedded designs.
	"The Roomba 980: Computer Vision Meets Consumer Robotics," a Presentation from iRobot Mario Munich of iRobot delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.

FotoNation


	"Embedding Programmable DNNs in Low-Power SoCs," a Presentation from Xperi Steve Teig of Xperi delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.
	"Getting More from Your Datasets: Data Augmentation, Annotation and Generative Techniques," a Presentation from Xperi Peter Corcoran of Xperi and C3Imaging delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.

FRAMOS


	"Data-driven Business Models Enabled by 3D Vision Technology," a Presentation from FRAMOS Christopher Scheubel of FRAMOS delivers a Business Insights presentation at the May 2018 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.

iMerit


	Data Sets for Machine Learning Model Training For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it.

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


	"Developing Computer Vision Algorithms for Networked Cameras," a Presentation from Intel Dukhwan Kim of Intel delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.
	"Balancing Safety, Convenience and Privacy in the Era of Ubiquitous Cameras," a Presentation from Intel Charlotte Dryden of Intel delivers a Business Insights presentation at the May 2018 Embedded Vision Summit.

Lattice Semiconductor


	"Deep Quantization for Energy Efficient Inference at the Edge," a Presentation from Lattice Semiconductor Hoon Choi of Lattice Semiconductor delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.
	"Programmable CNN Acceleration in Under 1 Watt," a Presentation from Lattice Semiconductor Gordon Hands of Lattice Semiconductor delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.

LUXOFT


	Data Sets for Machine Learning Model Training For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it.
	"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.

MathWorks


	"Deep Learning in MATLAB: From Concept to Optimized Embedded Code," a Presentation from MathWorks Avinash Nehemiah and Girish Venkataramani of MathWorks deliver an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.
	"How to Test and Validate an Automated Driving System," a Presentation from MathWorks Avinash Nehemiah of MathWorks delivers a Technical Insights presentation at the May 2017 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.

Microsoft


	"Infusing Visual Understanding in Cloud and Edge Solutions Using State Of-the-Art Microsoft Algorithms," a Presentation from Microsoft Anirudh Koul and Jin Yamamoto of Microsoft deliver an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.

MVTec


	Visual Intelligence Opportunities in Industry 4.0 With the emergence of the "smart factory," visual intelligence will further evolve and mature, as well as expand into new applications.
	"Embedded Vision Made Smart: Introduction to the HALCON Embedded Machine Vision Library," a Presentation from MVTec Olaf Munkelt of MVTec delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

NET GmbH


	"Computer Vision for Industrial Inspection: From PCs to Embedded," a Presentation from NET GmbH Thomas Däubler of NET GmbH delivers a Business Insights presentation at the May 2018 Embedded Vision Summit.

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


	Computer Vision for Augmented Reality in Embedded Designs By effectively using all compute resources, along with leveraging software toolsets, it's possible to deliver robust AR in embedded designs.
	OpenVX Implementations Deliver Robust Computer Vision Applications This article showcases OpenVX implementations leveraging multiple hardware platforms and both traditional and deep learning algorithms.

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.

PathPartner Technology


	"Understanding and Implementing Face Landmark Detection and Tracking," a Presentation from PathPartner Technology Jayachandra Dakala of PathPartner Technology delivers a Fundamentals presentation at the May 2018 Embedded Vision Summit.
	"Creating a Computationally Efficient Embedded CNN Face Recognizer," a Presentation from PathPartner Technology Praveen G.B. of PathPartner Technology delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.

Pilot AI


	"Pilot AI Vision Framework: From Doorbells to Defense," a Presentation from Pilot AI Jonathan Su of Pilot AI delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.

PTC


	Computer Vision for Augmented Reality in Embedded Designs By effectively using all compute resources, along with leveraging software toolsets, it's possible to deliver robust AR in embedded designs.
	"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


	Computer Vision for Augmented Reality in Embedded Designs By effectively using all compute resources, along with leveraging software toolsets, it's possible to deliver robust AR in embedded designs.
	"Designing Smarter, Safer Cars with Embedded Vision Using EV Processor Cores," a Presentation from Synopsys Fergus Casey of Synopsys delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Tandent Vision Science


	"A Physics-based Approach to Removing Shadows and Shading in Real Time," a Presentation from Tandent Vision Science Bruce Maxwell of Tandent Vision Science delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.

Texas Instruments


	Stereo Vision: Facing the Challenges and Seeing the Opportunities for ADAS Applications The next engineering frontier, arguably the most challenging for the technology community, is real-time machine vision and intelligence.
	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.

Thundersoft


	"Optimizing Your System Software and BSP for Embedded Vision and AI," a Presentation from Thundersoft Daniel Sun of Thundersoft delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.
	"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.

Twisthink


	"Optimize Performance: Start Your Algorithm Development With the Imaging Subsystem," a Presentation from Twisthink Ryan Johnson of Twisthink delivers a Fundamentals presentation at the May 2018 Embedded Vision Summit.

VeriSilicon


	OpenVX Implementations Deliver Robust Computer Vision Applications This article showcases OpenVX implementations leveraging multiple hardware platforms and both traditional and deep learning algorithms.
	OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities This article focuses on recent updates to OpenVX, , along with the set of extensions that OpenVX implementers can optionally provide.

videantis


	Computer Vision for Augmented Reality in Embedded Designs By effectively using all compute resources, along with leveraging software toolsets, it's possible to deliver robust AR in embedded designs.
	Computer Vision in Surround View Applications The ability to stitch together multiple images, capturing varying viewpoints of a scene, is becoming increasingly valuable in applications.

Wave Computing


	"New Dataflow Architecture for Machine Learning," a Presentation from Wave Computing Chris Nicol of Wave Computing delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"Enabling the Full Potential of Machine Learning," a Presentation from Wave Computing Derek Meyer of Wave Computing delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.

Xilinx


	"Leveraging Edge and Cloud for Visual Intelligence Solutions," a Presentation from Xilinx Salil Raje of Xilinx delivers a Business Insights presentation at the May 2018 Embedded Vision Summit.
	"Achieving 15 TOPS/s Equivalent Performance in Less Than 10 W Using Neural Network Pruning on Xilinx Zynq," a Presentation from Xilinx Nick Ni of Xilinx delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

XIMEA


	"High-end Multi-camera Technology, Applications and Examples," a Presentation from XIMEA Max Larin of XIMEA delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.
	"PCI Express – A High-bandwidth Interface for Multi-camera Embedded Systems," a Presentation from XIMEA Max Larin of XIMEA delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

XNOR.ai


	"At the Edge of AI At the Edge: Ultra-efficient AI on Low-power Compute Platforms," a Presentation from XNOR.ai Mohammad Rastegari of XNOR.ai delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

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