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.
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
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
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.
Intel Demonstration of the RealSense ZR300 Camera Object Recognition Library In the Home Read More +
Jeffrey McAllister, Technical Consulting Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, McAllister demonstrates the company's Computer Vision SDK, a collection of tools that helps developers efficiently access the capabilities of Intel hardware.
Intel Demonstration of Its Computer Vision SDK Read More +
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
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
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.
Intel Demonstration of FPGA-accelerated Video Analytics in Security and Surveillance Read More +
Noah Clemons, Staff Technical Consulting Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Clemons demonstrates the company's Performance Analysis Toolkit, which helps developers optimize their computer vision algorithms.
Intel Demonstration of Its Performance Analysis Toolkit Read More +
Chris Osterwood, Chief Technical Officer at Carnegie Robotics, presents the "How to Choose a 3D Vision Technology" tutorial at the May 2017 Embedded Vision Summit. Designers of autonomous vehicles, robots, and many other systems are faced with a critical challenge: Which 3D perception technology to use? There are a wide variety of sensors on the
“How to Choose a 3D Vision Technology,” a Presentation from Carnegie Robotics Read More +
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