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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


	"Understanding Real-World Imaging Challenges for ADAS and Autonomous Vision Systems – IEEE P2020," a Presentation from Algolux Felix Heide of Algolux delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.
	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.

Arm


	"Deep Learning on Arm Cortex-M Microcontrollers," a Presentation from Arm Vikas Chandra of Arm delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"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.

Au-Zone Technologies


	"Harnessing the Edge and the Cloud Together for Visual AI," a Presentation from Au-Zone Technologies Sébastien Taylor of Au-Zone Technologies delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.
	"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.

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


	"Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors," a Presentation from Cadence Megha Daga of Cadence delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"The Perspective Transform in Embedded Vision," a Presentation from Cadence Shrinivas Gadkari and Aditya Joshi of Cadence deliver a Technical Insights presentation at the May 2018 Embedded Vision Summit.

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


	"Rapid Development of Efficient Vision Applications Using the Halide Language and CEVA Processors," a Presentation from CEVA and mPerpetuo Yair Siegel of CEVA and Gary Gitelson of mPerpetuo deliver an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.
	"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.

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


	Embedded Vision Insights: February 19, 2019 Edition The Embedded Vision Alliance's Feb. 19, 2019 email newsletter edition covers a diversity of embedded vision technology and product topics.
	Embedded Vision Insights: February 5, 2019 Edition The Embedded Vision Alliance's Feb. 5, 2019 email newsletter edition covers a diversity of embedded vision technology and product topics.

FotoNation


	"Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases," a Presentation from Xperi Peter Corcoran of Xperi and C3Imaging delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.
	"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.

FRAMOS


	Multi-sensor Fusion for Robust Device Autonomy Combining visible light image sensors with other situational and positional awareness sensor technologies can notably bolster autonomy.
	"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.

Horizon Robotics


	"Embedded AI for Smart Cities and Retail in China," a Presentation from Horizon Robotics Yufeng Zhang of Horizon Robotics delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.
	"The Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI," a Presentation from Horizon Robotics Kai Yu of Horizon Robotics delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Imagination Technologies


	Combining an ISP and Vision Processor to Implement Computer Vision An ISP in combination with a vision processor can deliver more robust processing capabilities than vision processing can provide standalone.
	"Improving and Implementing Traditional Computer Vision Algorithms Using DNN Techniques," a Presentation from Imagination Technologies Paul Brasnett of Imagination Technologies delivers a Technical Insights presentation at the May 2018 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


	"Rethinking Deep Learning: Neural Compute Stick," a Presentation from Intel Ashish Pai of Intel delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.
	"Enabling Software Developers to Harness FPGA Compute Accelerators," a Presentation from Intel Bernhard Friebe of Intel delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Lattice Semiconductor


	Harnessing the Power of AI: An Easy Start with Lattice’s sensAI AI, is everywhere. It’s a revolutionary technology that is slowly pervading more industries than you can imagine.
	"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.

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


	Multi-sensor Fusion for Robust Device Autonomy Combining visible light image sensors with other situational and positional awareness sensor technologies can notably bolster autonomy.
	Using MATLAB and TensorRT on NVIDIA GPUs As we design deep learning networks, how can we quickly prototype the complete algorithm to get a sense of timing and performance on GPUs?

Mentor


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

Microsoft


	"Outside-In Autonomous Systems," a Presentation from Microsoft Jie Liu of Microsoft delivers a presentation at the September 2018 Vision Industry and Technology Forum.
	"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.

Mythic


	"Mythic's Analog Deep Learning Accelerator Chip: High Performance Inference," a Presentation from Mythic Frederick Soo of Mythic delivers an Enabling Technologies presentation at the May 2018 Embedded Vision Summit.

NovuMind


	"Energy-efficient Processors Enable the Era of Intelligent Devices," a Presentation from NovuMind Ren Wu of NovuMind delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI," a Presentation from NovuMind Mike Li of NovuMind delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

NVIDIA


	Using Calibration to Translate Video Data to the Real World Calibration is a key step in the process of going from raw video data to metadata that can be analyzed for actionable insights.
	Using MATLAB and TensorRT on NVIDIA GPUs As we design deep learning networks, how can we quickly prototype the complete algorithm to get a sense of timing and performance on GPUs?

NXP


	"Understanding Automotive Radar: Present and Future," a Presentation from NXP Semiconductors Arunesh Roy of NXP Semiconductors delivers a Fundamentals presentation at the May 2018 Embedded Vision Summit.
	"The Role of the Cloud in Autonomous Vehicle Vision Processing: A View from the Edge," a Presentation from NXP Semiconductors Ali Osman Ors of NXP Semiconductors delivers a Technical Insights presentation at the May 2018 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.

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.

Qualcomm


	"Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms," a Presentation from Qualcomm Sahil Bansal of Qualcomm delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"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.

Synopsys


	Combining an ISP and Vision Processor to Implement Computer Vision An ISP in combination with a vision processor can deliver more robust processing capabilities than vision processing can provide standalone.
	Multi-sensor Fusion for Robust Device Autonomy Combining visible light image sensors with other situational and positional awareness sensor technologies can notably bolster autonomy.

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


	"Reduce Risk in Computer Vision Design: Focus on the User," a Presentation from Twisthink Paul Duckworth of Twisthink delivers a Business Insights presentation at the May 2018 Embedded Vision Summit.
	"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


	"Utilizing Neural Networks to Validate Display Content in Mission Critical Systems," a Presentation from VeriSilicon Shang-Hung Lin of VeriSilicon delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.
	OpenVX Implementations Deliver Robust Computer Vision Applications This article showcases OpenVX implementations leveraging multiple hardware platforms and both traditional and deep learning algorithms.

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," 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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