Videos

“Deep Learning and Vision Algorithm Development in MATLAB Targeting Embedded GPUs,” a Presentation from MathWorks

Avinash Nehemiah, Product Marketing Manager for Computer Vision, and Girish Venkataramani, Product Development Manager, both of MathWorks, presents the "Deep Learning and Vision Algorithm Development in MATLAB Targeting Embedded GPUs" tutorial at the May 2017 Embedded Vision Summit. In this presentation, you'll learn how to adopt a MATLAB-centric workflow to design, verify and deploy your […]

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Intel Demonstration of Graphics Acceleration of Both Traditional and Deep Learning Vision Algorithms

Sriram Mirali, Graphics Software Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Mirali demonstrates the acceleration of both traditional and deep learning computer vision algorithms using Intel graphics hardware.

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“How Image Sensor and Video Compression Parameters Impact Vision Algorithms,” a Presentation from Amazon Lab126

Ilya Brailovskiy, Principal Engineer at Amazon Lab126, presents the "How Image Sensor and Video Compression Parameters Impact Vision Algorithms" tutorial at the May 2017 Embedded Vision Summit. Recent advances in deep learning algorithms have brought automated object detection and recognition to human accuracy levels on various test datasets. But algorithms that work well on an

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“PCI Express – A High-bandwidth Interface for Multi-camera Embedded Systems,” a Presentation from XIMEA

Max Larin, CEO of XIMEA, presents the "PCI Express – A High-bandwidth Interface for Multi-camera Embedded Systems" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Larin provides an overview of existing camera interfaces for embedded systems and explores their strengths and weaknesses.  He also examines the differences between integration of a sensor

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“Embedded Vision Made Smart: Introduction to the HALCON Embedded Machine Vision Library,” a Presentation from MVTec

Olaf Munkelt, Co-founder and Managing Director at MVTec Software GmbH, presents the "Embedded Vision Made Smart: Introduction to the HALCON Embedded Machine Vision Library" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Munkelt demonstrates how easy it is to develop an embedded vision (identification) application based on the HALCON Embedded standard software

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Intel Demonstration of the RealSense ZR300 Camera Object Recognition Library with Random Objects

Amol Borkar, RealSense Product Manager at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Borkar demonstrates the capabilities of the object recognition library for the RealSense ZR300 camera with random objects.

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“Adventures in DIY Embedded Vision: The Can’t-miss Dartboard,” a Presentation from Mark Rober

Engineer, inventor and YouTube personality Mark Rober presents the "Adventures in DIY Embedded Vision: The Can’t-miss Dartboard" tutorial at the May 2017 Embedded Vision Summit. Can a mechanical engineer with no background in computer vision build a complex, robust, real-time computer vision system? Yes, with a little help from his friends. Rober fulfilled a three-year

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“Performing Multiple Perceptual Tasks With a Single Deep Neural Network,” a Presentation from Magic Leap

Andrew Rabinovich, Director of Deep Learning at Magic Leap, presents the "Performing Multiple Perceptual Tasks With a Single Deep Neural Network" tutorial at the May 2017 Embedded Vision Summit. As more system developers consider incorporating visual perception into smart devices such as self-driving cars, drones and wearable computers, attention is shifting toward practical formulation and

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Intel Demonstration of the RealSense ZR300 Camera Object Recognition Library In the Home

Amol Borkar, RealSense Product Manager at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Borkar demonstrates the capabilities of the object recognition library for the RealSense ZR300 camera in the home.

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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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