Edge AI and Vision Alliance

“Item Recognition in Retail,” a Presentation from 7-Eleven

Sumedh Datar, Senior Machine Learning Engineer at 7-Eleven, presents the “Item Recognition in Retail” tutorial at the May 2023 Embedded Vision Summit. Computer vision has vast potential in the retail space. 7-Eleven is working on fast frictionless checkout applications to better serve customers. These solutions range from faster checkout systems to fully automated cashierless stores. […]

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“Lessons Learned in Developing a High-volume, Vision-enabled Coffee Maker,” an Interview with Keurig Dr Pepper

Jason Lavene, Director of Advanced Development Engineering at Keurig Dr Pepper, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Lessons Learned in Developing a High-volume, Vision-enabled Coffee Maker” interview at the May 2023 Embedded Vision Summit. Why did Keurig Dr Pepper—a $12B beverage company—spend years perfecting visual AI technology

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“Embedded Vision in Robotics, Biotech and Education,” an Interview with Dean Kamen

Dean Kamen, Founder of DEKA Research and Development, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Embedded Vision in Robotics, Biotech and Education” interview at the May 2023 Embedded Vision Summit. In his 2018 keynote presentation at the Embedded Vision Summit, legendary inventor and technology visionary Dean Kamen memorably

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May 2023 Embedded Vision Summit Opening Remarks (May 24)

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2023 Embedded Vision Summit on May 24, 2023. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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May 2023 Embedded Vision Summit Opening Remarks (May 23)

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2023 Embedded Vision Summit on May 23, 2023. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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May 2023 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Swathi A N Kumar, Founder and CEO of BetterMeal AI (substituting for David Hojah, CEO and Founder of Parrots), Amit Mate, Founder and CEO of GMAC Intelligence, Slava Chesnokov, CTO of Lemur Imaging, Tsvi Achler, Founder of Optimizing Mind, and Robert Brown, CEO of ProHawk Technology Group, deliver their Vision Tank finalist presentations at the

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“Generative AI: How Will It Impact Edge Applications and Machine Perception?,” An Embedded Vision Summit Expert Panel Discussion

Sally Ward-Foxton, Senior Reporter at EE Times, moderates the “Generative AI: How Will It Impact Edge Applications and Machine Perception?” Expert Panel at the May 2023 Embedded Vision Summit. Other panelists include Greg Kostello, CTO and Co-Founder of Huma.AI, Vivek Pradeep, Partner Research Manager at Microsoft, Steve Teig, CEO of Perceive, and Roland Memisevic, Senior

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Edge AI and Vision Insights: September 13, 2023 Edition

LETTER FROM THE EDITOR Dear Colleague, You probably won’t be surprised that 84% of vision-based product developers are using DNNs. But did you know that 80+% are using non-neural network vision or imaging algorithms? Those are just two findings from last year’s Computer Vision and Perceptual AI Developer Survey. The Edge AI and Vision Alliance

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“Frontiers in Perceptual AI: First-person Video and Multimodal Perception,” a Keynote Presentation from Kristen Grauman

Kristen Grauman, Professor at the University of Texas at Austin and Research Director at Facebook AI Research, presents the “Frontiers in Perceptual AI: First-person Video and Multimodal Perception” tutorial at the May 2023 Embedded Vision Summit. First-person or “egocentric” perception requires understanding the video and multimodal data that streams from wearable cameras and other sensors.

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Edge AI and Vision Insights: August 30, 2023 Edition

SOFTWARE TOOLSETS Visual Anomaly Detection with FOMO-AD Virtually all computer vision machine learning models involve classification—for example, “how many humans are in the frame?” To train such a model, you need examples of every class of object the model is intended to detect. But what happens when a new type of object appears? Ask a

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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.

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