Summit 2023

“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

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“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepreneurial Front Lines),” a Presentation from SeeChange Technologies

Tim Hartley, Vice President of Product for SeeChange Technologies, presents the “AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepreneurial Front Lines)” tutorial at the May 2023 Embedded Vision Summit. You have a killer idea that will change the world. You’ve thought through product-market fit and differentiation. You have seed funding

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“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentation from SCOUT Space

Andrew Harris, Spacecraft Systems Engineer at SCOUT Space, presents the “Developing a Computer Vision System for Autonomous Satellite Maneuvering” tutorial at the May 2023 Embedded Vision Summit. Computer vision systems for mobile autonomous machines experience a wide variety of real-world conditions and inputs that can be challenging to capture accurately in training datasets. Few autonomous

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“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentation from Santa Clara University

Susan Kennedy, Assistant Professor of Philosophy at Santa Clara University, presents the “Bias in Computer Vision—It’s Bigger Than Facial Recognition!” tutorial at the May 2023 Embedded Vision Summit. As AI is increasingly integrated into various industries, concerns about its potential to reproduce or exacerbate bias have become widespread. While the use of AI holds the

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“Sensor Fusion Techniques for Accurate Perception of Objects in the Environment,” a Presentation from the Sanborn Map Company

Baharak Soltanian, Vice President of Research and Development for the Sanborn Map Company, presents the “Sensor Fusion Techniques for Accurate Perception of Objects in the Environment” tutorial at the May 2023 Embedded Vision Summit. Increasingly, perceptual AI is being used to enable devices and systems to obtain accurate estimates of object locations, speeds and trajectories.

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“Updating the Edge ML Development Process,” a Presentation from Samsara

Jim Steele, Vice President of Embedded Software at Samsara, presents the “Updating the Edge ML Development Process” tutorial at the May 2023 Embedded Vision Summit. Samsara (NYSE:IOT) is focused on digitizing the world of operations. The company helps customers across many industries—including food and beverage, utilities and energy, field services and government—get information about their

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“Combating Bias in Production Computer Vision Systems,” a Presentation from Red Cell Partners

Alex Thaman, Chief Architect at Red Cell Partners, presents the “Combating Bias in Production Computer Vision Systems” tutorial at the May 2023 Embedded Vision Summit. Bias is a critical challenge in predictive and generative AI that involves images of humans. People have a variety of body shapes, skin tones and other features that can be

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“Developing an Embedded Vision AI-powered Fitness System,” a Presentation from Peloton Interactive

Sanjay Nichani, Vice President for Artificial Intelligence and Computer Vision at Peloton Interactive, presents the “Developing an Embedded Vision AI-powered Fitness System” tutorial at the May 2023 Embedded Vision Summit. The Guide is Peloton’s first strength-training product that runs on a physical device and also the first that uses AI technology. It turns any TV

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How Low-light Camera Modules Power Critical Embedded Vision Applications: A Detailed Look

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Surveillance, inspection, and monitoring applications inevitably deal with poor light conditions – causing noise and loss of detail while capturing images. See what applications need low-light cameras and get a full understanding of how to

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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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