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 +
Tim Hartley, Senior Product Manager at ARM, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Hartley demonstrates the company's Spirit computer vision accelerator, acquired when ARM bought Apical in mid-2016. The demo uses two cameras feeding into individual Spirit object detection and localization hardware accelerators. Each
ARM Demonstration of the Spirit Object Detection and Localization Accelerator Read More +
Gian Marco Iodice, Software Engineer at ARM, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Iodice presents a demonstration of Collective Knowledge, developed by partner company Dividiti. The demo supports several popular models for object classification and detection, implemented in Caffe or TensorFlow, and running on
ARM Demonstration of Collaboratively Optimizing Deep Learning Applications Read More +
Petronel Bigioi, General Manager at FotoNation, presents the "Ultra-Efficient VPU: Low-power Deep Learning, Computer Vision and Computational Photography" tutorial at the May 2017 Embedded Vision Summit. This talk focuses on bringing intelligence to the edge to enable local devices to see and hear. It explores the power-consumption-vs.-flexibility dilemma by examining hard-coded and programmable architectures. It
Mark Bünger, VP of Research at Lux Research, presents the "Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry" tutorial at the May 2017 Embedded Vision Summit. The auto and telecom industries have been dreaming of connected cars for twenty years, but their results have been mediocre and mixed. Now, just
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