{"id":392,"date":"2016-06-07T18:57:22","date_gmt":"2016-06-07T18:57:22","guid":{"rendered":"https:\/\/www.edge-ai-vision.com\/?page_id=392"},"modified":"2020-01-10T19:03:10","modified_gmt":"2020-01-10T19:03:10","slug":"may-2016-embedded-vision-summit-replay","status":"publish","type":"page","link":"https:\/\/www.edge-ai-vision.com\/the-summit\/may-2016-embedded-vision-summit-replay\/","title":{"rendered":"May 2016 Embedded Vision Summit Replay"},"content":{"rendered":"

Conference Presentation Slides<\/strong><\/h3>\n\n\n\n
\"\"<\/a><\/td>\n\n

2016 Embedded Vision Summit Slides<\/span>
\n\t\t\t(81 MB—click to download.)<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Conference Overview Presentations<\/strong><\/h3>\n\n\n\n
\"\"<\/a><\/td>\n\n

Welcome Remarks and Conference Overview (Day 1)<\/strong>
\n\t\t\tJeff Bier, Embedded Vision Alliance<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

Welcome Remarks and Conference Overview (Day 2)<\/strong>
\n\t\t\tJeff Bier, Embedded Vision Alliance<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Keynote and Plenary Session Presentations<\/strong><\/h3>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Large-Scale Deep Learning for Building Intelligent Computer Systems"<\/strong>
\n\t\t\tJeff Dean, Google<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Using Vision to Enable Autonomous Land, Sea and Air Vehicles"<\/strong>
\n\t\t\tLarry Matthies, NASA JPL<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Computer Vision 2.0: Where We Are and Where We're Going"<\/strong>
\n\t\t\tJeff Bier, Embedded Vision Alliance<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Business Insights Track Presentations<\/strong><\/h3>\n\n\n\n
\"\"<\/a><\/td>\n\n

"How Computer Vision Is Accelerating the Future of Virtual Reality"<\/strong>
\n\t\t\tAllen Rush, AMD<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Lessons Learned from Bringing Mobile and Embedded Vision Products to Market"<\/strong>
\n\t\t\tTim Harley, ARM<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Understanding Camera Subsystems for Your Embedded Vision System and Making the Right Choice"<\/strong>
\n\t\t\tGerrit Fischer, Basler<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"The Road Ahead for Neural Networks: Five Likely Surprises"<\/strong>
\n\t\t\tChris Rowen, Cadence<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"A Practitioner’s Guide to Commercializing Applications of Computer Vision"<\/strong>
\n\t\t\tPeter Shannon, Firelake Capital Management<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Making Existing Cars Smart Via Embedded Vision and Deep Learning"<\/strong>
\n\t\t\tStefan Heck, NAUTO<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Sensing Technologies for the Autonomous Vehicle"<\/strong>
\n\t\t\tTom Wilson, NXP Semiconductors<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Is Vision the New Wireless?"<\/strong>
\n\t\t\tRaj Talluri, Qualcomm Technologies<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Should Visual Intelligence Reside in the Cloud or at the Edge? Trade-offs in Privacy, Security and Performance"<\/strong>
\n\t\t\tAndreas Gal, Silk Labs<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"How Deep Learning Is Enabling Computer Vision Markets"<\/strong>
\n\t\t\tBruce Daley, Tractica<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Computer Vision in Cars: Status, Challenges, and Trends"<\/strong>
\n\t\t\tMarco Jacobs, videantis<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Democratizing Computer Vision Development: Lessons from the Video Game Industry"<\/strong>
\n\t\t\tPaul Kruszewski, WRNCH<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"What's Hot in Embedded Vision for Investors?"<\/strong>
\n\t\t\tPanel Discussion: Intel Capital, Bank of America Merrill Lynch, Vision Ventures, TandemLaunch and Firelake Capital Management<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

Vision Tank Competition Finalist Presentations<\/strong>
\n\t\t\t3DiVi, 8tree, Magik Eye, Preemadonna, and SKUR<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Enabling Technologies Track Presentations<\/strong><\/h3>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Fast Deployment of Low-power Deep Learning on CEVA Vision Processors"<\/strong>
\n\t\t\tYair Siegel, CEVA<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Digital Gimbal: Rock-steady Video Stabilization without Extra Weight!"<\/strong>
\n\t\t\tPetronel Bigioi, FotoNation<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"TensorFlow: Enabling Mobile and Embedded Machine Intelligence"<\/strong>
\n\t\t\tPete Warden, Google<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Efficient Convolutional Neural Network Inference on Mobile GPUs"<\/strong>
\n\t\t\tPaul Brasnett, Imagination Technologies<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Accelerating Deep Learning Using Altera FPGAs"<\/strong>
\n\t\t\tBill Jenkins, Intel<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"NVIDIA VisionWorks, a Toolkit for Computer Vision"<\/strong>
\n\t\t\tElif Albuz, NVIDIA<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"High-resolution 3D Reconstruction on a Mobile Processor"<\/strong>
\n\t\t\tMichael Mangan, Qualcomm<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Using the OpenCL C Kernel Language for Embedded Vision Processors"<\/strong>
\n\t\t\tSeema Mirchandaney, Synopsys<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Technical Insights Track Presentations<\/strong><\/h3>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Using SGEMM and FFTs to Accelerate Deep Learning"<\/strong>
\n\t\t\tGian Marco Iodice, ARM<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Semantic Segmentation for Scene Understanding: Algorithms and Implementations"<\/strong>
\n\t\t\tNagesh Gupta, Auviz Systems<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Video Stabilization Using Computer Vision: Techniques for Embedded Devices"<\/strong>
\n\t\t\tBen Weiss, CEVA<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Getting from Idea to Product with 3D Vision"<\/strong>
\n\t\t\tAnavai Ramesh, Intel and Avinash Nehemiah, MathWorks<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Real-world Vision Systems Design: Challenges and Techniques"<\/strong>
\n\t\t\tYury Gorbachev, Itseez<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"The Vision API Maze: Options and Trade-offs,"<\/strong>
\n\t\t\tNeil Trevett, Khronos Group<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Making Computer Vision Software Run Fast on Your Embedded Platform,"<\/strong>
\n\t\t\tAlexey Rybakov, LUXOFT<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Dataflow: Where Power Budgets Are Won and Lost"<\/strong>
\n\t\t\tSofiane Yuos, Movidius<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras"<\/strong>
\n\t\t\tOrazio Gallo, NVIDIA<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Image Sensors for Vision: Foundations and Trends"<\/strong>
\n\t\t\tRobin Jenkin, ON Semiconductor<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"The OpenCV Open Source Computer Vision Library: What’s New and What’s Coming?"<\/strong>
\n\t\t\tGary Bradski, OpenCV Foundation<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"\"<\/a><\/td>\n\n

"Programming Embedded Vision Processors Using OpenVX"<\/strong>
\n\t\t\tPierre Paulin, Synopsys<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/a>Technology Showcase Demonstrations<\/strong><\/h3>\n\n\n\n
\"3DiVi\"<\/a><\/td>\n\n

3DiVi<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"AdasWorks\"<\/a><\/td>\n\n

AdasWorks<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Almalence\"<\/a><\/td>\n\n

Almalence<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Analog<\/a><\/td>\n\n

Analog Devices<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"ARM\"<\/a><\/td>\n\n

ARM<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"ARM\"<\/a><\/td>\n\n

ARM<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Auviz<\/a><\/td>\n\n

Auviz Systems<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"BDTI\"<\/a><\/td>\n\n

BDTI<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"BDTI\"<\/a><\/td>\n\n

BDTI<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"BDTI\"<\/a><\/td>\n\n

BDTI<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Cadence\"<\/a><\/td>\n\n

Cadence<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Cadence\"<\/a><\/td>\n\n

Cadence<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"CEVA\"<\/a><\/td>\n\n

CEVA<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"FotoNation\"<\/a><\/td>\n\n

FotoNation<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"HSA<\/a><\/td>\n\n

HSA Foundation<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"HSA<\/a><\/td>\n\n

HSA Foundation<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Huawei\"<\/a><\/td>\n\n

Huawei<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Intel\"<\/a><\/td>\n\n

Intel<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Intel\"<\/a><\/td>\n\n

Intel<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"IRIDA<\/a><\/td>\n\n

IRIDA Labs<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Luxoft\"<\/a><\/td>\n\n

Luxoft<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Luxoft\"<\/a><\/td>\n\n

Luxoft<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Luxoft\"<\/a><\/td>\n\n

Luxoft<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Luxoft\"<\/a><\/td>\n\n

Luxoft<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Luxoft\"<\/a><\/td>\n\n

Luxoft<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Luxoft\"<\/a><\/td>\n\n

Luxoft<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"MathWorks\"<\/a><\/td>\n\n

MathWorks<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"MIPI<\/a><\/td>\n\n

MIPI Alliance<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Morpho\"<\/a><\/td>\n\n

Morpho<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Movidius\"<\/a><\/td>\n\n

Movidius<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"NVIDIA\"<\/a><\/td>\n\n

NVIDIA<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"NVIDIA\"<\/a><\/td>\n\n

NVIDIA<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"NXP<\/a><\/td>\n\n

NXP Semiconductors<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"PathPartner<\/a><\/td>\n\n

PathPartner Technology<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"PathPartner<\/a><\/td>\n\n

PathPartner Technology<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Qualcomm\"<\/a><\/td>\n\n

Qualcomm<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"QuickPlay\"<\/a><\/td>\n\n

QuickPlay<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Renesas\"<\/a><\/td>\n\n

Renesas<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Renesas\"<\/a><\/td>\n\n

Renesas<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Samasource\"<\/a><\/td>\n\n

Samasource<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Sighthound\"<\/a><\/td>\n\n

Sighthound<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"SKUR\"<\/a><\/td>\n\n

SKUR<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"StradVision\"<\/a><\/td>\n\n

StradVision<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Synopsys\"<\/a><\/td>\n\n

Synopsys<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Tend\"<\/a><\/td>\n\n

Tend<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Thales<\/a><\/td>\n\n

Thales Group<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Universidad<\/a><\/td>\n\n

Universidad de Castilla-La Mancha<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"VeriSilicon\"<\/a><\/td>\n\n

VeriSilicon<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"VeriSilicon\"<\/a><\/td>\n\n

VeriSilicon<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"videantis\"<\/a><\/td>\n\n

videantis<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"videantis\"<\/a><\/td>\n\n

videantis<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Xilinx\"<\/a><\/td>\n\n

Xilinx<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Xilinx\"<\/a><\/td>\n\n

Xilinx<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"Xilinx\"<\/a><\/td>\n\n

Xilinx<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\"ZMicro\"<\/a><\/td>\n\n

ZMicro<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Conference Presentation Slides 2016 Embedded Vision Summit Slides (81 MB—click to download.) Conference Overview Presentations Welcome Remarks and Conference Overview (Day 1) Jeff Bier, Embedded Vision Alliance Welcome Remarks and Conference Overview (Day 2) Jeff Bier, Embedded Vision Alliance Keynote and Plenary Session Presentations "Large-Scale Deep Learning for Building Intelligent Computer Systems" Jeff Dean, Google […]<\/p>\n","protected":false},"author":9,"featured_media":0,"parent":11483,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":null,"header-main-stick-meta":"","header-below-stick-meta":null,"astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"summityear":[],"class_list":["post-392","page","type-page","status-publish","hentry"],"yoast_head":"\nMay 2016 Embedded Vision Summit Replay - Edge AI and Vision Alliance<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.edge-ai-vision.com\/the-summit\/may-2016-embedded-vision-summit-replay\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"May 2016 Embedded Vision Summit Replay - Edge AI and Vision Alliance\" \/>\n<meta property=\"og:description\" content=\"Conference Presentation Slides 2016 Embedded Vision Summit Slides (81 MB—click to download.) 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