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 […]
Vadim Pisarevsky, Software Engineering Manager at Intel, presents the "Making OpenCV Code Run Fast" tutorial at the May 2017 Embedded Vision Summit. OpenCV is the de facto standard framework for computer vision developers, with a 16+ year history, approximately one million lines of code, thousands of algorithms and tens of thousands of unit tests. While
“Making OpenCV Code Run Fast,” a Presentation from Intel Read More +
Cormac Brick, Director of Machine Intelligence for Intel's Movidius Group, presents the "The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon" tutorial at the May 2017 Embedded Vision Summit. Deep learning techniques are gaining in popularity for many vision tasks. Will they soon dominate every facet of embedded vision? Cormac Brick from
Mario Bergeron, Technical Marketing Engineer at Avnet, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Bergeron explains how the Xilinx reVISION stack was used to target a sensor fusion algorithm on the Avnet PicoZed Embedded Vision Kit. Written entirely in C/C++, the image fusion algorithm was
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Nick Ni, Senior Product Marketing Manager for Embedded Vision and SDSoC at Xilinx , demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Ni uses a multi-sensor demonstration to explain the company's reVISION stack, a software flow designed to allow users to develop using C/C++ and OpenCL,
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Chris Rowen, CEO of Cognite Ventures, presents the "How to Start an Embedded Vision Company" tutorial at the May 2017 Embedded Vision Summit. This talk outlines the essential opportunity and daunting challenges of building significant new companies based on deep learning technology, specifically in vision systems. It draws on presenter Chris Rowen's long experience as
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Image processing is one of the most common terms in vision technology, yet not everybody knows what it exactly means. In Basler's latest Vision Campus video, Thies Möller elaborates on the term image processing, talks about the difference between image processing and preprocessing, and discusses the role of software. He also gives examples of the
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Junhwan Kim, CEO of StradVision, demonstrates the company's latest embedded vision technologies and products at the February 2017 Embedded Vision Alliance Member Meeting. Specifically, Kim showcases the company’s deep learning-based object detection software for six object classes including pedestrian, car (sedan, SUV), bus, truck, box truck, and rider (cycle, motorbike), running on NVIDIA's TX1 application
StradVision Demonstration of its Deep Learning-based Object Detection Software for ADAS Read More +
Endre Toth, Director of Business Development at Vision Components, demonstrates the company's latest embedded vision technologies and products at the February 2017 Embedded Vision Alliance Member Meeting. Specifically, Toth demonstrates the company's powerful Carrida ALPR (automatic license plate recognition) software engine in combination with an ARM-based stand-alone intelligent camera running Linux. Vision Components' Carrida Software
Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's latest embedded vision technologies and products at the February 2017 Embedded Vision Alliance Member Meeting. Specifically, Giddings demonstrates how BDTI creates highly optimized and efficient software for computer vision and deep learning. These demos show a neural network for object detection running on an
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