This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. “The Embedded Vision Summit is bigger than ever,” I wrote in our last show report, as well as in 2015, and in 2014. This year the show only grew a little bit. There were again about 1,000 […]
Show Report: Embedded Vision Summit 2018 Read More +
Avinash Nehemiah, Product Marketing Manager for Computer Vision, and Girish Venkataramani, Product Development Manager, both of MathWorks, present the “Deep Learning in MATLAB: From Concept to Optimized Embedded Code” tutorial at the May 2018 Embedded Vision Summit. In this presentation, you’ll learn how to adopt MATLAB to design deep learning based vision applications and re-target
Imagine summoning a driverless car from your smartphone: Fully autonomous vehicles based on DRIVE Pegasus AI supercomputer will usher in a new era of mobility-as-a-service. Press a button on your smartphone and go. Daimler, Bosch and NVIDIA have joined forces to bring fully automated and driverless vehicles to city streets, and the effects will be
Let’s Go Driverless: Daimler, Bosch Select NVIDIA DRIVE for Robotaxi Fleets Read More +
Sumit Gupta, Vice President of AI, Machine Learning and HPC at IBM, presents the “Using Vision to Transform Retail” tutorial at the May 2018 Embedded Vision Summit. This talk explores how recent advances in deep learning-based computer vision have fueled new opportunities in retail. Using case studies based on deployed systems, Gupta explores how deep
“Using Vision to Transform Retail,” a Presentation from IBM Read More +
Industrial camera manufacturer Basler is strengthening its position in the Chinese market by joining forces with Beijing Sanbao Xingye (MVLZ) Image Tech. Co., Ltd. a leading Chinese distributor of image processing components. Ahrensburg, 10 July 2018 – Basler AG, the world's largest manufacturer of industrial cameras, signs joint venture agreement with its distributor, Beijing Sanbao
Basler Establishes Joint Venture with Chinese Distributor Beijing Sanbao Xingye (MVLZ) Read More +
EMBEDDED VISION PERSPECTIVES The Four Key Trends Driving the Proliferation of Visual Perception With so much happening in computer vision applications and technology, and happening so fast, it can be difficult to see the big picture. In this talk, Jeff Bier, Founder of the Embedded Vision Alliance and Co-founder and President of BDTI, examines the
Embedded Vision Insights: July 10, 2018 Edition Read More +
Steve Teig, Chief Technology Officer at Xperi, presents the “Embedding Programmable DNNs in Low-Power SoCs” tutorial at the May 2018 Embedded Vision Summit. This talk presents the latest generation of FotoNation’s (a core business unit of Xperi) Image Processing Unit (IPU)—an embedded AI enabled image processing engine that can be customized and adapted to suit
“Embedding Programmable DNNs in Low-Power SoCs,” a Presentation from Xperi Read More +
Sylvain Dubois, Vice President of Strategic Marketing & Business Development at Crossbar, presents the “New Memory-centric Architecture Needed for AI” tutorial at the May 2018 Embedded Vision Summit. Artificial intelligence (AI) will not replace the need for humans any time soon, but it will have a profound impact on everyday lives, transforming industries from transportation
“New Memory-centric Architecture Needed for AI,” a Presentation from Crossbar Read More +
Allied Vision enters high bandwidth camera market with new camera family Bonito PRO, achieving 25 Gigabits per second with quad CXP-6 CoaXPress interface. Stadtroda, Germany – July 3, 2018 – The camera manufacturer Allied Vision expands its portfolio with an all-new camera family with CoaXPress interface for high-speed and high-bandwidth applications. At market introduction, the
New: Allied Vision’s High-speed Camera Bonito PRO Read More +
Praveen G.B., Technical Lead at PathPartner Technology, presents the “Creating a Computationally Efficient Embedded CNN Face Recognizer” tutorial at the May 2018 Embedded Vision Summit. Face recognition systems have made great progress thanks to availability of data, deep learning algorithms and better image sensors. Face recognition systems should be tolerant of variations in illumination, pose
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