Provider
The listing below showcases the most recently published Embedded Vision Academy content associated with various Embedded Vision Alliance member companies. Reference the links on the right side of this page to access the full suite of embedded vision content, sorted by member company
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Erik Klass of 8tree delivers a presentation at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. |
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Arun Chhabra of 8tree delivers a Business Insights presentation at the May 2017 Embedded Vision Summit. |
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For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it. |
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Differences between images intended for human viewing and for computer analysis factor into vision camera hardware and software design. |
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Expanding the analysis range to encompass the infrared and/or ultraviolet spectrum can be of great benefit in a range of vision applications |
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Michael Melle and Felix Nikolaus of Allied Vision deliver an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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The ability to stitch together multiple images, capturing varying viewpoints of a scene, is becoming increasingly valuable in applications. |
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Allen Rush of AMD delivers a business presentation at the May 2016 Embedded Vision Summit. |
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Rajesh Mahapatra of Analog Devices delivers a technical presentation at the May 2014 Embedded Vision Summit. |
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Attendees of the 2012 HOT CHIPS symposium recently learned about Analog Devices’ new BF60x family of video and vision processors. |
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Roberto Mijat of ARM delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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Tim Ramsdale of ARM delivers a Business Insights presentation at the May 2017 Embedded Vision Summit. |
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This article reviews deep learning implementation options such as heterogeneous processing, network quantization, and software optimizations |
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Rafal Malewski of NXP and Sébastien Taylor of Au-Zone deliver a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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With the emergence of the "smart factory," visual intelligence will further evolve and mature, as well as expand into new applications. |
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Mark Hebbel of Basler delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit. |
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For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it. |
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This article reviews deep learning implementation options such as heterogeneous processing, network quantization, and software optimizations |
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Samer Hijazi of Cadence delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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Pulin Desai of Cadence delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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Yair Siegel of CEVA delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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Ben Weiss of CEVA delivers a technical presentation at the May 2016 Embedded Vision Summit. |
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Mark Bünger of Lux Research delivers a presentation at the March 2018 Vision Industry and Technology Forum. |
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Jacob Mullins of Shasta Ventures delivers a presentation at the March 2018 Vision Industry and Technology Forum. |
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Paul Brasnett of Imagination Technologies delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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Paul Brasnett of Imagination Technologies delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit. |
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For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it. |
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VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost. |
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Minje Park of Intel delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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Anders Grunnet-Jepsen of Intel delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it. |
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Alexey Rybakov of Luxoft delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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Avinash Nehemiah of MathWorks delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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Avinash Nehemiah and Girish Venkataramani of MathWorks deliver an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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Advanced memory technologies such as Mentor Graphics' coolSRAM-1T are valuable in embedded vision designs. |
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With the emergence of the "smart factory," visual intelligence will further evolve and mature, as well as expand into new applications. |
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Olaf Munkelt of MVTec delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology |
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Elif Albuz of NVIDIA delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit. |
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Ali Osman Ors of NXP Semiconductors delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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Rafal Malewski of NXP and Sébastien Taylor of Au-Zone deliver a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost. |
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Robin Jenkin of ON Semiconductor delivers a technical presentation at the May 2016 Embedded Vision Summit. |
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Jayachandra Dakala of PathPartner Technology delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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Jay Wright of PTC delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting. |
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Evgeni Gousev of Qualcomm Research delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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Michael Mangan of Qualcomm Technologies delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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This article reviews deep learning implementation options such as heterogeneous processing, network quantization, and software optimizations |
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Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms. |
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The next engineering frontier, arguably the most challenging for the technology community, is real-time machine vision and intelligence. |
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Image processing can optionally take place within the edge device, in a network-connected cloud server, or subdivided among these locations. |
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Fan Wang of Thundersoft delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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OpenVX enables embedded vision application software developers to efficiently harness the processing resources available in SoCs and systems |
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The ability to stitch together multiple images, capturing varying viewpoints of a scene, is becoming increasingly valuable in applications. |
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Marco Jacobs of videantis delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit. |
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Chris Nicol of Wave Computing delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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Derek Meyer of Wave Computing delivers a Business Insights presentation at the May 2017 Embedded Vision Summit. |
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With the emergence of the "smart factory," visual intelligence will further evolve and mature, as well as expand into new applications. |
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Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms. |
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Max Larin of XIMEA delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit. |
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