Alexey Rybakov, Senior Director at Luxoft, presents the "Making Computer Vision Software Run Fast on Your Embedded Platform" tutorial at the May 2016 Embedded Vision Summit. Many computer vision algorithms perform well on desktop class systems, but struggle on resource constrained embedded platforms. This how-to talk provides a comprehensive overview of various optimization methods that […]
Yury Gorbachev, Principal Engineer at Itseez (now part of Intel), presents the "Real-world Vision Systems Design: Challenges and Techniques" tutorial at the May 2016 Embedded Vision Summit. Computer vision is central to many modern, cool products and technologies, including augmented reality, virtual reality and drones. Thanks to recent advances in system-on-chip and embedded systems design,
“Real-world Vision Systems Design: Challenges and Techniques,” a Presentation from Intel Read More +
Dr. Chris Rowen, Chief Technology Officer of the IP Group at Cadence, presents the "Road Ahead for Neural Networks: Five Likely Surprises" tutorial at the May 2016 Embedded Vision Summit. Cognitive computing is finally getting real! It has passed through the phases of obscurity and curiosity and is surviving the current phase of breathless hype.
“The Road Ahead for Neural Networks: Five Likely Surprises,” a Presentation from Cadence Read More +
Pete Warden, Research Engineer at Google, presents the "TensorFlow: Enabling Mobile and Embedded Machine Intelligence" tutorial at the May 2016 Embedded Vision Summit. Following a brief overview of the advances in deep learning and AI over the last few years, Pete discusses how Google uses TensorFlow to deploy those advances in products on mobile and
Bruce Daley, Principal Analyst at Tractica, presents the "How Deep Learning Is Enabling Computer Vision Markets" tutorial at the May 2016 Embedded Vision Summit. Deep learning has emerged as one of the most significant enabling technologies in the world of artificial intelligence (AI) and is beginning to be applied to a variety of business processes
“How Deep Learning Is Enabling Computer Vision Markets,” a Presentation from Tractica Read More +
Pierre Paulin, Senior R&D Director for Embedded Vision at Synopsys, presents the "Programming Embedded Vision Processors Using OpenVX" tutorial at the May 2016 Embedded Vision Summit. OpenVX, a new Khronos standard for embedded computer vision processing, defines a higher level of abstraction for algorithm specification, with the goal of enabling platform and tool innovation in
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This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Back in March, I wrote about ADAS (advanced driver assistance systems), which I noted was "quietly but quite rapidly becoming a huge technology success story." This week, I'm revisiting the topic, along with the related
Computer Vision for Driver Assistance: More Industry Perspectives Read More +
Neil Trevett, President of the Khronos Group, presents the "Vision API Maze: Options and Trade-offs" tutorial at the May 2016 Embedded Vision Summit. It’s been a busy year in the world of hardware acceleration APIs. Many industry-standard APIs, such as OpenCL and OpenVX, have been upgraded, and the industry has begun to adopt the new
“The Vision API Maze: Options and Trade-offs,” a Presentation from the Khronos Group Read More +
Stefan Heck, CEO and co-founder of NAUTO, presents the "Making Existing Cars Smart Via Embedded Vision and Deep Learning" tutorial at the May 2016 Embedded Vision Summit. NAUTO is a system that consists of a device, network and app. It's an affordable way to upgrade any car to get network and safety features previously available
Tom Wilson, ADAS Product Line Manager at NXP Semiconductors, presents the "Sensing Technologies for the Autonomous Vehicle" tutorial at the May 2016 Embedded Vision Summit. Autonomous vehicles will necessarily utilize a range of sensing technologies to see and react to their surroundings. We are witnessing dramatic advances not just for embedded vision, but also in
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