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
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“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Presentation from Yummly
Parshad Patel, Data Scientist at Yummly, presents the “Selecting Tools for Developing, Monitoring and Maintaining ML Models” tutorial at the May 2023 Embedded Vision Summit. With the boom in tools for developing, monitoring and maintaining ML models, data science teams have many options to choose from. Proprietary tools provided by cloud service providers are enticing,
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“Building Accelerated GStreamer Applications for Video and Audio AI,” a Presentation from Wave Spectrum
Abdo Babukr, Accelerated Computing Consultant at Wave Spectrum, presents the “Building Accelerated GStreamer Applications for Video and Audio AI,” tutorial at the May 2023 Embedded Vision Summit. GStreamer is a popular open-source framework for creating streaming media applications. Developers often use GStreamer to streamline the development of computer vision and audio perception applications. Since perceptual
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“Understanding, Selecting and Optimizing Object Detectors for Edge Applications,” a Presentation from Walmart Global Tech
Md Nasir Uddin Laskar, Staff Machine Learning Engineer at Walmart Global Tech, presents the “Understanding, Selecting and Optimizing Object Detectors for Edge Applications” tutorial at the May 2023 Embedded Vision Summit. Object detectors count objects in a scene and determine their precise locations, while also labeling them. Object detection plays a crucial role in many
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“Vision-language Representations for Robotics,” a Presentation from the University of Pennsylvania
Dinesh Jayaraman, Assistant Professor at the University of Pennsylvania, presents the “Vision-language Representations for Robotics” tutorial at the May 2023 Embedded Vision Summit. In what format can an AI system best present what it “sees” in a visual scene to help robots accomplish tasks? This question has been a long-standing challenge for computer scientists and
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“Introduction to Modern LiDAR for Machine Perception,” a Presentation from the University of Ottawa
Robert Laganière, Professor at the University of Ottawa and CEO of Sensor Cortek, presents the “Introduction to Modern LiDAR for Machine Perception” tutorial at the May 2023 Embedded Vision Summit. In this presentation, Laganière provides an introduction to light detection and ranging (LiDAR) technology. He explains how LiDAR sensors work and their main advantages and
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“ADAS: What’s Working and What Isn’t?,” An Interview by the Ojo-Yoshida Report with TechInsights
Ian Riches, Vice President of the Global Automotive Practice for TechInsights, talks with Junko Yoshida, Editor-in-Chief of the Ojo-Yoshida Report, for the “ADAS: What’s Working and What Isn’t?” interview at the May 2023 Embedded Vision Summit. This engaging onstage interview delves into the latest developments and most important trends in advanced driver-assistance systems (ADAS). Junko
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“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
Ian Riches, Vice President of the Global Automotive Practice at TechInsights, presents the “ADAS and AV Sensors: What’s Winning and Why?” tutorial at the May 2023 Embedded Vision Summit. It’s clear that the number of sensors per vehicle—and the sophistication of these sensors—is growing rapidly, largely thanks to increased adoption of advanced safety and driver
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“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentation from Sportlogiq
Mehrsan Javan, Co-founder and CTO of Sportlogiq, presents the “Computer Vision in Sports: Scalable Solutions for Downmarket Leagues” tutorial at the May 2023 Embedded Vision Summit. Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this requires a fully automated, robust end-to-end pipeline, spanning from visual input, to
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“Detecting Data Drift in Image Classification Neural Networks,” a Presentation from Southern Illinois University Carbondale
Spyros Tragoudas, Professor and School Director at Southern Illinois University Carbondale, presents the “Detecting Data Drift in Image Classification Neural Networks” tutorial at the May 2023 Embedded Vision Summit. An unforeseen change in the input data is called “drift,” and may impact the accuracy of machine learning models. In this talk, Tragoudas presents a novel
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“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions,” a Presentation from Sensor Cortek
Fahed Hassanat, Chief Operating Officer and Head of Engineering at Sensor Cortek, presents the “Deep Neural Network Training: Diagnosing Problems and Implementing Solutions” tutorial at the May 2023 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