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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


	"Distance Estimation Solutions for ADAS and Automated Driving," a Presentation from AImotive Gergely Debreczeni of AImotive delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	"Shifts in the Automated Driving Industry," a Presentation from AImotive László Kishonti of AImotive delivers a Business Insights presentation at the May 2019 Embedded Vision Summit.

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


	"Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver," a Presentation from Allied Vision Sebastian Günther of Allied Vision Technologies delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"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.

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


	"Performance Analysis for Optimizing Embedded Deep Learning Inference Software," a Presentation from Arm Gian Marco Iodice of Arm delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	"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.

AuZone Technologies


	"Tools and Techniques for Optimizing DNNs on Arm-based Processors with Au-Zone’s DeepView ML Toolkit," a Presentation from Au-Zone Technologies Sébastien Taylor of Au-Zone Technologies delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"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.

Basler


	"Using Blockchain to Create Trusted Embedded Vision Systems," a Presentation from Basler Thies Möller of Basler delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"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.

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


	"Fundamentals of Monocular SLAM," a Presentation from Cadence Shrinivas Gadkari of Cadence delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.
	"Portable Performance via the OpenVX Computer Vision Library: Case Studies," a Presentation from Cadence Frank Brill of Cadence delivers a Technical Insights presentation at the May 2019 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


	"Deploying Visual SLAM in Low-power Devices," a Presentation from CEVA Ben Weiss of CEVA delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"Developing 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.

Codeplay Software


	"Can We Have Both Safety and Performance in AI for Autonomous Vehicles?," a Presentation from Codeplay Software Andrew Richards of Codeplay Software delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	"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


	"Memory-centric Hardware Acceleration for Machine Intelligence," a Presentation from Crossbar Sylvain Dubois of Crossbar delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"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


	"PyTorch Deep Learning Framework: Status and Directions," a Presentation from Facebook Joseph Spisak of Facebook delivers a presentation at the December 2019 Vision Industry and Technology Forum.
	"Current and Planned Standards for Computer Vision and Machine Learning," a Presentation from the Khronos Group Neil Trevett of the Khronos Group delivers a presentation at the December 2019 Vision Industry and Technology Forum.

FLIR


	"Deep Learning for Manufacturing Inspection Applications," a Presentation from FLIR Systems Stephen Se of FLIR Systems delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.

FotoNation


	"Beyond CNNs for Video: The Chicken vs. the Datacenter," a Presentation from Xperi Steve Teig of Xperi delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	"An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs," a Presentation from Xperi Petronel Bigioi of Xperi delivers an Enabling Technologies presentation at the May 2019 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.

Graphcore


	"DNN Challenges and Approaches for L4/L5 Autonomous Vehicles," a Presentation from Graphcore Tom Wilson of Graphcore delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.

Hailo


	"Emerging Processor Architectures for Deep Learning: Options and Trade-offs," a Presentation from Hailo Orr Danon of Hailo delivers an Enabling Technologies presentation at the May 2019 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


	"Object Detection for Embedded Markets," a Presentation from Imagination Technologies Paul Brasnett of Imagination Technologies delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.
	"Mining Site Data Extraction Using 3D Machine Learning," a Presentation from Strayos Ravi Sahu of Strayos delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.

Intel


	"AI Reliability Against Adversarial Inputs," a Presentation from Intel Gokcen Cilingir and Li Chen of Intel deliver a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	"Fast and Accurate RMNet: A New Neural Network for Embedded Vision," a Presentation from Intel Ilya Krylov of Intel delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.

Kudan


	"Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications," a Presentation from Kudan John Williams of Kudan delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.

Lattice Semiconductor


	"Accelerate Adoption of AI at the Edge with Easy to Use, Low-power Programmable Solutions," a Presentation from Lattice Semiconductor Hussein Osman of Lattice Semiconductor delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	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.

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.

Magik Eye


	"Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D Solutions," a Presentation from Magik Eye Takeo Miyazawa of Magik Eye delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.

MathWorks


	Rapid Prototyping on NVIDIA Jetson Platforms with MATLAB MATLAB makes it easier to prototype and deploy to NVIDIA hardware through the NVIDIA hardware support package.
	"Deploying Deep Learning Models on Embedded Processors for Autonomous Systems with MATLAB," a Presentation from MathWorks Sandeep Hiremath and Bill Chou of MathWorks deliver an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.

MediaTek


	"MediaTek’s Approach for Edge Intelligence," a Presentation from MediaTek Bing Yu of MediaTek delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"SoCs for Computer Vision-enabled IoT Devices," a March 2019 Silicon Valley Meetup Presentation from MediaTek (PDF) Bing Yu, Senior Tech Manager at MediaTek, delivered a presentation on March 13, 2019 at the Alliance's Computer Vision and Visual AI Meetup.

Mentor


	"Using High-level Synthesis to Bridge the Gap Between Deep Learning Frameworks and Custom Hardware Accelerators," a Presentation from Mentor Michael Fingeroff of Mentor delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	Fundamentals of coolSRAM-1T Memory IP Advanced memory technologies such as Mentor Graphics' coolSRAM-1T are valuable in embedded vision designs.

Mindtech


	"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech Peter McGuinness of Mindtech delivers a Technical Insights presentation at the May 2019 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


	"Pioneering Analog Compute for Edge AI to Overcome the End of Digital Scaling," a Presentation from Mythic Mike Henry of Mythic delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"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


	Rapid Prototyping on NVIDIA Jetson Platforms with MATLAB MATLAB makes it easier to prototype and deploy to NVIDIA hardware through the NVIDIA hardware support package.
	Speeding Up Semantic Segmentation Using MATLAB Container from NVIDIA NGC The semantic segmentation algorithm for deep learning assigns a label or category to every pixel in an image.

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


	"Using Deep Learning for Video Event Detection on a Compute Budget," a Presentation from PathPartner Technology Praveen Nayak of PathPartner Technology delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	"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.

Prophesee


	"Neuromorphic Event-based Vision: From Disruption to Adoption at Scale," a Presentation from Prophesee Luca Verre of Prophesee delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.

Qualcomm


	"Snapdragon Hybrid Computer Vision/Deep Learning Architecture for Imaging Applications," a Presentation from Qualcomm Robert Lay of Qualcomm delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoCs," a Presentation from Qualcomm Felix Baum of Qualcomm delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.

Renesas


	"Dynamically Reconfigurable Processor Technology for Vision Processing," a Presentation from Renesas Yoshio Sato of Renesas delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.

Samasource


	"Practical Approaches to Training Data Strategy: Bias, Legal and Ethical Considerations," a Presentation from Samasource Audrey Jill Boguchwal of Samasource delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.

Strayos


	"Mining Site Data Extraction Using 3D Machine Learning," a Presentation from Strayos Ravi Sahu of Strayos delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.

Synopsys


	"Five+ Techniques for Efficient Implementation of Neural Networks," a Presentation from Synopsys Bert Moons of Synopsys delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.
	"Fundamental Security Challenges of Embedded Vision," a Presentation from Synopsys Mike Borza of Synopsys delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.

Teknique


	"Designing Your Next Vision Product Using a Systems Approach," a Presentation from Teknique Ben Bodley of Teknique delivers a Business Insights presentation at the May 2019 Embedded Vision Summit.
	"Accelerating Smart Camera Time to Market Using a System-on-module Approach," a Presentation from Teknique Ian Billing of Teknique delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.

Texas Instruments


	"Machine Learning at the Edge in Smart Factories Using TI Sitara Processors," a Presentation from Texas Instruments Manisha Agrawal of Texas Instruments delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	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.

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.

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.

Whirlpool


	"Enabling the Next Kitchen Experience Through Embedded Vision," a Presentation from Whirlpool Sugosh Venkataraman of Whirlpool delivers a Business Insights presentation at the May 2019 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


	"A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes," a Presentation from Xnor.ai Peter Zatloukal of Xnor.ai delivers an Enabling Technologies presentation at the May 2019 Embedded Vision Summit.
	"Methods for Creating Efficient Convolutional Neural Networks," a Presentation from Xnor.ai Mohammad Rastegari of Xnor.ai delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.

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