Thomas Däubler, CTO of NET New Electronic Technology GmbH, presents the “Computer Vision for Industrial Inspection: The Evolution from PCs to Embedded Solutions” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Däubler introduces current industrial inspection computer vision applications and solutions, and explores how vision solutions are evolving for this market. In […]
Carlo Dal Mutto, CTO of Aquifi, presents the “Depth Cameras: A State-of-the-Art Overview” tutorial at the May 2018 Embedded Vision Summit. In the last few years, depth cameras have reached maturity and are being incorporated in an increasing variety of commercial products. Typical applications span gaming, contactless authentication in smartphones, AR/VR and IoT. State-of-the-art depth
“Depth Cameras: A State-of-the-Art Overview,” a Presentation from Aquifi Read More +
Mohammad Rastegari, CTO of Xnor.ai, presents the “At the Edge of AI At the Edge: Ultra-efficient AI on Low-power Compute Platforms” tutorial at the May 2018 Embedded Vision Summit. Improvements in deep learning models have increased the demand for AI in several domains. These models demand massive amounts of computation and memory, so current AI
Fergus Casey, R&D Director for ARC Processors at Synopsys, presents the “Designing Smarter, Safer Cars with Embedded Vision Using Synopsys EV Processor Cores” tutorial at the May 2018 Embedded Vision Summit. Consumers, the automotive industry and government regulators are requiring greater levels of automotive functional safety with each new generation of cars. Embedded vision, using
Tom Michiels, System Architect for Embedded Vision at Synopsys, presents the “New Deep Learning Techniques for Embedded Systems” tutorial at the May 2018 Embedded Vision Summit. In the past few years, the application domain of deep learning has rapidly expanded. Constant innovation has improved the accuracy and speed of learning and inference. Many techniques are
“New Deep Learning Techniques for Embedded Systems,” a Presentation from Synopsys Read More +
Steve Steele, Director of Platforms in the Machine Learning Group at Arm, presents the “Project Trillium: A New Suite of Machine Learning IP from Arm” tutorial at the May 2018 Embedded Vision Summit. Machine learning processing engines today tend to focus on specific device classes or the needs of individual sectors. Arm’s Project Trillium changes
“Project Trillium: A New Suite of Machine Learning IP,” a Presentation from Arm Read More +
Salil Raje, Senior Vice President in the Software and IP Products Group at Xilinx, presents the “Leveraging Edge and Cloud for Visual Intelligence Solutions” tutorial at the May 2018 Embedded Vision Summit. For many computer vision systems, a critical decision is whether to implement vision processing at the edge or in the cloud. In a
Friedrich Dierks, Director of Product Marketing and Development for the Module Business at Basler, presents the “Designing Vision Front Ends for Embedded Systems” tutorial at the May 2018 Embedded Vision Summit. This presentation guides viewers through the process of specifying and selecting a vision front end for an embedded system. It covers topics such as
“Designing Vision Front Ends for Embedded Systems,” a Presentation from Basler Read More +
Nick Ni, Director of Product Marketing for AI and Edge Computing at Xilinx, presents the “Achieving 15 TOPS/s Equivalent Performance in Less Than 10 W Using Neural Network Pruning on Xilinx Zynq” tutorial at the May 2018 Embedded Vision Summit. Machine learning algorithms, such as convolution neural networks (CNNs), are fast becoming a critical part
Kees Vissers, Distinguished Engineer at Xilinx, presents the “Exploiting Reduced Precision for Machine Learning on FPGAs” tutorial at the May 2018 Embedded Vision Summit. Machine learning algorithms such as convolutional neural networks have become essential for embedded vision. Their implementation using floating-point computation requires significant compute and memory resources. Research over the last two years
“Exploiting Reduced Precision for Machine Learning on FPGAs,” a Presentation from Xilinx Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
