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.
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“Implementing AI/Computer Vision for Corporate Security Surveillance,” a Presentation from VMware
Prasad Saranjame, former Head of Physical Security and Resiliency at VMware, presents the “Implementing AI/Computer Vision for Corporate Security Surveillance” tutorial at the May 2024 Embedded Vision Summit. AI-enabled security cameras offer substantial benefits for corporate security and operational efficiency. However, successful deployment requires thoughtful selection of use cases and… “Implementing AI/Computer Vision for Corporate
“Continual Learning thru Sequential, Lightweight Optimization,” a Presentation from Vision Elements
Guy Lavi, Managing Partner at Vision Elements, presents the “Continual, On-the-fly Learning through Sequential, Lightweight Optimization” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Lavi shows how techniques of sequential optimization are applied to enable continual learning during run-time, as new observations flow in. The lightweight nature… “Continual Learning thru Sequential, Lightweight
“Multi-object Tracking Systems,” a Presentation from Tryolabs
Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2024 Embedded Vision Summit. Object tracking is an essential capability in many computer vision systems, including applications in fields such as traffic control, self-driving vehicles, sports and more. In this talk, Berneche… “Multi-object Tracking Systems,” a Presentation
“Improved Navigation Assistance for the Blind via Real-time Edge AI,” a Presentation from Tesla
Aishwarya Jadhav, Software Engineer in the Autopilot AI Team at Tesla, presents the “Improved Navigation Assistance for the Blind via Real-time Edge AI,” tutorial at the May 2024 Embedded Vision Summit. In this talk, Jadhav presents recent work on AI Guide Dog, a groundbreaking research project aimed at providing navigation… “Improved Navigation Assistance for the
“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… “Using Vision Systems, Generative Models
“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
“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
“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
“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
“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