The Embedded Vision Summit was held online on September 15-25, 2020, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in PDF form. To… September 2020 Embedded Vision Summit […]
September 2020 Embedded Vision Summit Slides Read More +
Smart City connected by IoT (Image by Tumisu from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Whether you’re new to computer vision or an expert, you’ve probably heard about AlexNet winning the ImageNet challenge in 2012. That was the turning point in computer
Model Compression: Needs and Importance Read More +
Toly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, presents the “Practical Guide to Implementing Deep Neural Network Inferencing at the Edge” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Kotlarsky explores practical aspects of implementing a pre-trained deep neural network (DNN) inference on typical edge processors. First,
Jeff Bier, Founder of the Edge AI and Vision Alliance, interviews Monique Jones, Senior Software Engineer Team Lead at Intel, about her company’s DevCloud for the Edge developer toolset. Bier and Jones compare and contrast a DevCloud-based development flow versus the traditional approach that leverages a development board located at the engineer’s desk and directly
“DevCloud for the Edge,” an Alliance Conversation with Intel Read More +
This blog post was originally published at Deeplite’s website. It is reprinted here with the permission of Deeplite. Welcome back to the DNN model optimization series! Our recent paper on Deeplite’s unique optimization software, Neutrino™, won the “Best Deployed System” award at Innovative Applications of Artificial Intelligence 2021. For this occasion, we decided to dedicate this
Roland Memisevic, CEO, Chief Scientist and Founder of Twenty BN, presents the “Computer Vision-Based Personal Trainer That Runs On Your Phone” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Memisevic describes Twenty BN’s journey towards building an AI-powered personal trainer that runs on your phone. The trainer takes the form of an
Facundo Parodi, Research and Machine Learning Engineer at Tryolabs, presents the “Introduction to Machine Learning and How to Teach Machines to See” tutorial at the September 2020 Embedded Vision Summit. What is machine learning? How can machines distinguish a cat from a dog in an image? What’s the magic behind convolutional neural networks? These are
Scott Thibault, President and Founder of StreamLogic, presents the “Can You See What I See? The Power of Deep Learning” tutorial at the September 2020 Embedded Vision Summit. It’s an exciting time to work in computer vision, mainly due to the technological advances in the area of deep learning. This talk is an introduction to
“Can You See What I See? The Power of Deep Learning,” a Presentation from StreamLogic Read More +
Fisheye dewarping with no need to install an app: this solution works directly with the WebGL API and on popular browsers for computers and mobile devices, as long as they support HTML5. Convenience and ease-of-use should be watchwords for the development of all products, yet many of them stumble right out of the blocks by
Home Surveillance and Security Without the Hassle Read More +
Woonhyun Nam, Algorithms Director at StradVision, presents the “Designing Bespoke CNNs for Target Hardware” tutorial at the September 2020 Embedded Vision Summit. Due to the great success of deep neural networks (DNNs) in computer vision and other machine learning applications, numerous specialized processors have been developed to execute these algorithms with reduced cost and power
“Designing Bespoke CNNs for Target Hardware,” a Presentation from StradVision Read More +
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