Minje Park, Software Engineering Manager at Intel, presents the "Designing Deep Neural Network Algorithms for Embedded Devices" tutorial at the May 2017 Embedded Vision Summit. Deep neural networks have shown state-of-the-art results in a variety of vision tasks. Although accurate, most of these deep neural networks are computationally intensive, creating challenges for embedded devices. In […]
Pete Warden, Research Engineer at Google, presents the "Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP" tutorial at the May 2017 Embedded Vision Summit. TensorFlow is Google’s second-generation deep learning software framework. TensorFlow was designed from the ground up to enable efficient implementation of deep learning algorithms at different scales, from high-performance data
Pete Warden, Research Engineer at Google, presents the "Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP" tutorial at the May 2017 Embedded Vision Summit. TensorFlow is Google’s second-generation deep learning software framework. TensorFlow was designed from the ground up to enable efficient implementation of deep learning algorithms at different scales, from high-performance data
Adam Rowell, CTO of Lucid VR, Nitsa Einan, VP of Business Development at Imagry, Anthony Ashbrook, Founder and CEO of Machines With Vision, Grace Tsai, Founding Engineer at PerceptIn, and Grégoire Gentil, Founder of Always Innovating, deliver their Vision Tank finalist presentations at the May 2017 Embedded Vision Summit. The Vision Tank, a unique spin
May 2017 Embedded Vision Summit Vision Tank Competition Finalist Presentations Read More +
Nick Ni, Senior Product Manager for SDSoC and Embedded Vision at Xilinx, presents the "OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision" tutorial at the May 2017 Embedded Vision Summit. OpenCV libraries are widely used for algorithm prototyping by many leading technology companies and computer vision researchers. FPGAs can achieve unparalleled compute
What exactly is the GigE Vision 2.0 standard and what advantages does it bring to multi-camera systems? The GigE Vision 2.0 standard makes it easier to set up a multi-camera system and offers many benefits. Thanks to the Precision Time Protocol (PTP), for example, it is possible to trigger all cameras in this system at
Basler’s Thies Möller Explains How Multi-camera Setups Benefit from GigE Vision 2.0 Read More +
Chris Rowen, CEO of Cognite Ventures, moderates the Vision Entrepreneurs' Panel at the May 2017 Embedded Vision Summit. Other panelists include Mark Bowles, founder of ecoATM; Michael Tusch, CEO; and Remi El-Ouazzane, CEO of Movidius (an Intel company). What can we learn from leaders of successful vision-based start-ups? The expanding applications of embedded vision are
May 2017 Embedded Vision Summit Vision Entrepreneurs’ Panel Read More +
Samer Hijazi, Deep Learning Engineering Group Director at Cadence, presents the "Techniques to Reduce Power Consumption in Embedded DNN Implementations" tutorial at the May 2017 Embedded Vision Summit. Deep learning is becoming the most widely used technique for computer vision and pattern recognition. This rapid adoption is primarily driven by the outstanding effectiveness deep learning
Fan Wang, Technical Director at Thundersoft, presents the "Power of a Turnkey Camera Solution: Introduction to the Camera Development Kit" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Wang showcases the power of a turn-key camera solution via the company's camera development kit, which can be used for algorithm development and smart
This video, one in a series published by Alliance member company Synopsys, is a starting point for learning about embedded vision. It provides an overview of embedded vision and starts the conversation on how embedded vision is changing the way humans interact with their electronic devices.
“Introduction to Embedded Vision,” a Video from Synopsys Read More +
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