05 September 2019 – iniVation is pleased to announce the release of DV Software 1.0, created to accelerate application development for its revolutionary event-based Dynamic Vision Sensor technology. The modular structure of the DV software allows developers to combine pre-built modules into applications faster than ever before. DV Software 1.0 offers many advantages for developers, […]
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MVTec has been participating in the development of important machine vision standards since 2005 The focus is on interoperability and 3D vision Process automation and machine vision are merging Munich, September 05, 2019 – To mark its 33rd meeting with the GenICam Standard Group during the IVSM (International Vision Standards Meeting, October 7 to 11 in Stresa,
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Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the Future: The Eyes Have It” tutorial at the May 2019 Embedded Vision Summit. Eye interaction technologies complement augmented and virtual reality head-mounted displays. In this presentation, Milford reviews eye tracking technology, concentrating mainly on camera-based solutions and associated system requirements. Wearable eye tracking
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This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. It’s been several weeks since AutoSens was held in Detroit and there are only a few weeks left until AutoSens will again land at the beautiful AutoWorld car museum in Brussels in September. Seems like this is
Show Report Highlights Automotive Advancements and Trends Read More +
Shrinivas Gadkari, Design Engineering Director at Cadence, presents the “Fundamentals of Monocular SLAM” tutorial at the May 2019 Embedded Vision Summit. Simultaneous Localization and Mapping (SLAM) refers to a class of algorithms that enables a device with one or more cameras and/or other sensors to create an accurate map of its surroundings, to determine the
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First BSI Global Shutter Sensor With Nyxel® Technology Combines 2.2 micron Pixel With Superior Near-Infrared Performance for Sharp, Accurate Images in Consumer and Industrial Applications SANTA CLARA, Calif. – Sept. 3, 2019 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced the smallest-ever pixel size of 2.2 microns for a
OmniVision Announces Image Sensor With Industry’s Smallest BSI Global Shutter Pixel Read More +
Ilya Krylov, Software Engineering Manager at Intel, presents the “Fast and Accurate RMNet: A New Neural Network for Embedded Vision” tutorial at the May 2019 Embedded Vision Summit. Usually, the top places in deep learning challenges are won by huge neural networks that require massive amounts of data and computation, making them impractical for use
Peter Vajda, Research Manager at Facebook, presents the “Hardware-aware Deep Neural Network Design” tutorial at the May 2019 Embedded Vision Summit. A central problem in the deployment of deep neural networks is maximizing accuracy within the compute performance constraints of embedded devices. In this talk, Vajda discusses approaches to addressing this challenge based on automated
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Carlo Dal Mutto, CTO of Aquifi, presents the “Training Data for Your CNN: What You Need and How to Get It” tutorial at the May 2019 Embedded Vision Summit. A fundamental building block for AI development is the development of a proper training set to allow effective training of neural nets. Developing such a training
August 29, 2019 – On Tuesday, Mobileye President and CEO Prof. Amnon Shashua and Israeli Prime Minister Benjamin Netanyahu laid the cornerstone for Mobileye’s new global development center in Jerusalem. They were joined by Israel Economy Minister Eli Cohen and Jerusalem Mayor Moshe Lion. When complete, the eight-story complex will span 50,000 square meters above ground and
Intel Lays Cornerstone for Mobileye’s New Global Development Center in Jerusalem Read More +
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