Summit

“Introduction to Cameras for Embedded Applications,” a Presentation from SensorSpace

Brian Rodricks, CTO of SensorSpace, presents the “Introduction to Cameras for Embedded Applications” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Rodricks introduces the essential features of cameras for embedded vision applications. He explains lens mounts and camera interface options such as MIPI, USB and GigE. He… “Introduction to Cameras for Embedded […]

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“Introduction to Modern Radar for Machine Perception,” a Presentation from Sensor Cortek

Robert Laganière, Professor at the University of Ottawa and CEO of Sensor Cortek, presents the “Introduction to Modern Radar for Machine Perception” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Laganière provides an introduction to radar (short for radio detection and ranging) for machine perception. Radar is… “Introduction to Modern Radar for

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“Diagnosing Problems and Implementing Solutions for Deep Neural Network Training,” a Presentation from Sensor Cortek

Fahed Hassanat, COO and Head of Engineering at Sensor Cortek, presents the “Deep Neural Network Training: Diagnosing Problems and Implementing Solutions” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Hassanat delves into some of the most common problems that arise when training deep neural networks. He provides… “Diagnosing Problems and Implementing Solutions

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“Seeing Through Machines: A Guide to Image Sensors for Edge AI Applications,” a Presentation from SEEdar Consulting

Armita Abadian, Advisor to SEEdar Consulting, presents the “Seeing Through Machines: A Guide to Image Sensors for Edge AI Applications” tutorial at the May 2024 Embedded Vision Summit. Imagine a robot navigating a busy factory floor, a self-driving car detecting obstacles on the road or a security system accurately recognizing… “Seeing Through Machines: A Guide

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“Transformer Networks: How They Work and Why They Matter,” a Presentation from Ryddle AI

Rakshit Agrawal, Co-Founder and CEO of Ryddle AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2024 Embedded Vision Summit. Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential… “Transformer Networks: How They Work

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Micron Technology Demonstration of Its DRAM and Flash Memory Product Lines

David Henderson, Industrial Segment Director at Micron Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Khalilian demonstrates his company’s latest DRAM and flash memory products. Demonstrations include: Image recognition and matching on an i.MX 8 Plus-based platform containing Micron’s DRAM, eMMC and serial NOR

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“Removing Weather-related Image Degradation at the Edge,” a Presentation from Rivian

Ramit Pahwa, Machine Learning Scientist at Rivian, presents the “Removing Weather-related Image Degradation at the Edge” tutorial at the May 2024 Embedded Vision Summit. For machines that operate outdoors—such as autonomous cars and trucks—image quality degradation due to weather conditions presents a significant challenge. For example, snow, rainfall and raindrops… “Removing Weather-related Image Degradation at

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“Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques,” a Presentation from Qualitas Technologies

Raghava Kashyapa, CEO of Qualitas Technologies, presents the “Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Kashyapa explores how advanced image acquisition techniques reveal previously unseen information, improving the ability of algorithms to provide valuable insights.… “Seeing the Invisible: Unveiling Hidden

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“Data-efficient and Generalizable: The Domain-specific Small Vision Model Revolution,” a Presentation from Pixel Scientia Labs

Heather Couture, Founder and Computer Vision Consultant at Pixel Scientia Labs, presents the “Data-efficient and Generalizable: The Domain-specific Small Vision Model Revolution” tutorial at the May 2024 Embedded Vision Summit. Large vision models (LVMs) trained on a large and diverse set of imagery are revitalizing computer vision, just as LLMs… “Data-efficient and Generalizable: The Domain-specific

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“Omnilert Gun Detect: Harnessing Computer Vision to Tackle Gun Violence,” a Presentation from Omnilert

Chad Green, Director of Artificial Intelligence at Omnilert, presents the “Omnilert Gun Detect: Harnessing Computer Vision to Tackle Gun Violence” tutorial at the May 2024 Embedded Vision Summit. In the United States in 2023, there were 658 mass shootings, and 42,996 people lost their lives to gun violence. Detecting and… “Omnilert Gun Detect: Harnessing Computer

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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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PO Box #4446
Walnut Creek, CA 94596

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