This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Face detector is one of the most commonly used AI component today. Whether you are building a system to count the number of people in a room or a home security system that unlocks the door when […]
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Derya Akkaynak, Engineer and Oceanographer at the Harbor Branch Oceanographic Institute, presents the “Sea-thru: A Method for Removing Water from Underwater Images” tutorial at the September 2020 Embedded Vision Summit. Very large underwater image datasets are generated every day that capture important information regarding the state of our oceans, but they cannot be efficiently analyzed
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. My colleague Abigail Wen is interviewing some of the greatest minds in artificial intelligence (AI) with her new podcast—Intel on AI. From Ivy-league professors to Fortune 50 executives, I’m pleasantly surprised to hear how many experts in
Where AI Falls Short Read More +
Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to
Independent AI architect Siddha Ganju presents the “Deep Learning on Mobile Devices” tutorial at the September 2020 Embedded Vision Summit. Over the last few years, convolutional neural networks (CNNs) have grown enormously in popularity, especially for computer vision. Many applications running on smartphones and wearable devices could benefit from the capabilities of CNNs. However, CNN’s
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Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection: Case Studies” tutorial at the September 2020 Embedded Vision Summit. Deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition and natural language processing. See
Raghuraman Krishnamoorthi, Software Engineer at Facebook, presents the “Practical DNN Quantization Techniques and Tools” tutorial at the September 2020 Embedded Vision Summit. Quantization is a key technique to enable the efficient deployment of deep neural networks. In this talk, Krishnamoorthi presents an overview of techniques for quantizing convolutional neural networks for inference with integer weights
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook Read More +
Thomas Lebens, Partner at Fitch, Even, Tabin & Flannery LLP, presents the “Can You Patent Your AI-Based Invention?” tutorial at the September 2020 Embedded Vision Summit. Patenting inventions is one way to capitalize on the hard work and creativity that drives an innovative product, but recent cases have made things difficult for innovators whose inventions
On February 9, 2021 at 9 am PT (noon ET), the Edge AI and Vision Alliance’s Founder, Jeff Bier, and Vice President of Special Projects, Phil Lapsley, will present the free hour webinar “Adding Visual AI or Computer Vision to Your Embedded System: Key Things Every Engineering Manager Should Know,” in partnership with Aspencore. Here’s
Free Webinar Explores Adding Visual AI or Computer Vision to Your Embedded System Read More +
Evan Juras, Computer Vision Engineer at EJ Technology Consultants, presents the “Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models” tutorial at the September 2020 Embedded Vision Summit. Data augmentation is a method of expanding deep learning training datasets by making various automated modifications to existing images in the dataset. The resulting
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