Object Identification

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies

Algorithms, Au-Zone Technologies, Automotive, NXP Semiconductors, Object Identification, Optical Character Recognition, Processors, Software, Tools, Videos /

Rafal Malewski, Head of the Graphics Technology Engineering Center at NXP Semiconductors, and Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, present the "Implementing an Optimized CNN Traffic Sign Recognition Solution" tutorial at the May 2017 Embedded Vision Summit. Now that the benefits of using deep neural networks for image classification are well known, the […]

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“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies

Algorithms, Au-Zone Technologies, Automotive, NXP Semiconductors, Object Identification, Optical Character Recognition, Processors, Software, Tools, Videos /

Rafal Malewski, Head of the Graphics Technology Engineering Center at NXP Semiconductors, and Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, present the "Implementing an Optimized CNN Traffic Sign Recognition Solution" tutorial at the May 2017 Embedded Vision Summit. Now that the benefits of using deep neural networks for image classification are well known, the

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies Read More +

“Video Cameras Without Video: Opportunities For Sensing With Embedded Vision,” a Presentation from Michael Tusch

Algorithms, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Software, Tools, Videos /

Michael Tusch presents the "Video Cameras Without Video: Opportunities For Sensing With Embedded Vision" tutorial at the May 2017 Embedded Vision Summit. Within the next few years, network cameras will cease to be regarded primarily as image capture devices. They will instead transform into intelligent data capture nodes whose functionality will in many, but not

“Video Cameras Without Video: Opportunities For Sensing With Embedded Vision,” a Presentation from Michael Tusch Read More +

“Computer Vision on ARM: The Spirit Object Detection Accelerator,” a Presentation from ARM

Algorithms, Arm, Face Detection, Face Recognition, Object Identification, Object Tracking, Processors, Software, Tools, Videos /

Tim Hartley, Senior Product Manager in the Imaging and Vision Group at ARM, presents the "Computer Vision on ARM: The Spirit Object Detection Accelerator" tutorial at the May 2017 Embedded Vision Summit. In 2016, ARM released Spirit, a dedicated object detection accelerator, bringing industry-leading levels of power- and area-efficiency to computer vision workflows. In this

“Computer Vision on ARM: The Spirit Object Detection Accelerator,” a Presentation from ARM Read More +

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May 2017 Embedded Vision Summit Slides

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Biometrics, Downloads, Edge AI and Vision Alliance, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Sensors and Cameras, Software, Tools /

The Embedded Vision Summit was held on May 1-3, 2017 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2017 Embedded Vision Summit

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“Designing Vision Systems for Human Operators and Workflows,” a Presentation from 8tree

8tree, Aerospace and Defense, Algorithms, Augmented Reality, Object Identification, Processors, Sensors and Cameras, Software, Videos /

Arun Chhabra of 8tree delivers the presentation "Designing Vision Systems for Human Operators and Workflows" at the February 2017 Embedded Vision Alliance Member Meeting. Chhabra explains how his company is deploying computer vision to enhance existing workflows in industries such as aircraft maintenance.

“Designing Vision Systems for Human Operators and Workflows,” a Presentation from 8tree Read More +

“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Videos /

Nik Gagvani, President and General Manager of CheckVideo, delivers the presentation "Intelligent Video Surveillance: Are We There Yet?" at the September 2016 Embedded Vision Alliance Member Meeting. Gagvani provides an insider's perspective on vision-enabled video surveillance applications.

“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo Read More +

“Using Vision to Enable Autonomous Land, Sea and Air Vehicles,” a Keynote Presentation from NASA JPL

Algorithms, Object Identification, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Tools, Videos /

Larry Matthies, senior research scientist at the NASA Jet Propulsion Laboratory, presents the "Using Vision to Enable Autonomous Land, Sea and Air Vehicles" keynote at the May 2016 Embedded Vision Summit. Say you’re an autonomous rover and you’ve just landed on Mars. Vexing questions now confront you: “Where am I and how am I moving?”

“Using Vision to Enable Autonomous Land, Sea and Air Vehicles,” a Keynote Presentation from NASA JPL Read More +

Vision Processing Opportunities in Drones

Algorithms, Articles, Edge AI and Vision Alliance, Face Detection, Face Recognition, Intel, NVIDIA, NXP Semiconductors, Object Identification, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Technical Articles, Tools, videantis, Xperi /

UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation,

Vision Processing Opportunities in Drones Read More +

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May 2016 Embedded Vision Summit Proceedings

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Biometrics, Downloads, Edge AI and Vision Alliance, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Sensors and Cameras, Software, Tools /

The Embedded Vision Summit was held on May 2-4, 2016 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations presented at the Summit are listed below. All of the slides from these presentations are included in… May 2016 Embedded Vision Summit

May 2016 Embedded Vision Summit Proceedings Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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