Videos on Edge AI and Visual Intelligence
We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.
Alliance Website Videos
“Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics,” a Presentation from Sportlogiq
Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics” tutorial at the May 2024 Embedded Vision Summit. At a high level, sport analytics systems can be broken into two components: sensory data collection and analytical models that turn sensory data into insights for users.
“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 explores sensor features and trade-offs,
“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 a proven technology with a
“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 a brief overview of essential
“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 faces. These advancements in artificial
“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 data, such as human languages,
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
“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 on optical surfaces can wreak
“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. He introduces various techniques, including
“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 did for language modeling. However,
