Videos

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

Algorithms & Models, Industrial Vision (Computer Vision), MVTec, Object Identification, Optical Character Recognition, Processors, Software, Tools, Videos /

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

Videos /

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

Algorithms & Models, Edge AI and Vision Alliance, Object Tracking, Processors, Sensors and Cameras, Software, Tools, Videos /

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

Algorithms & Models, Augmented Reality, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

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

Videos /

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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“Using Satellites to Extract Insights on the Ground,” a Presentation from Orbital Insight

Aerospace and Defense, Algorithms & Models, Edge AI and Vision Alliance, Object Identification, Processors, Sensors and Cameras, Software, Tools, Videos /

Boris Babenko, Senior Software Engineer at Orbital Insight, presents the "Using Satellites to Extract Insights on the Ground" tutorial at the May 2017 Embedded Vision Summit. Satellites are great for seeing the world at scale, but analyzing petabytes of images can be extremely time-consuming for humans alone. This is why machine vision is a perfect

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

8tree, Aerospace and Defense, Algorithms & Models, Augmented Reality, Processors, Sensors and Cameras, Software, Tools, Videos /

Arun Chhabra, CEO of 8tree, presents the "Designing Vision Systems for Human Operators and Workflows: A Case Study" tutorial at the May 2017 Embedded Vision Summit. During the past several decades, manual measurement methods – using rulers and dial gauges – have been the status quo for inspecting dents, bumps, lightning strikes and corrosion blend-out

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Intel Demonstration of FPGA-accelerated Video Analytics in Security and Surveillance

Videos /

Passant Karunaratne, a member of the Platforms and Solutions Engineering team at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Karunaratne demonstrates a person detection algorithm, useful for video analytics in security and surveillance, that is accelerated by means of an Altera FPGA.

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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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