Fundamentals

“DNN Quantization: Theory to Practice,” a Presentation from AMD

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Dwith Chenna, Member of the Technical Staff and Product Engineer for AI Inference at AMD, presents the “DNN Quantization: Theory to Practice” tutorial at the May 2024 Embedded Vision Summit. Deep neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run… “DNN Quantization: Theory to Practice,” […]

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“Introduction to Visual Simultaneous Localization and Mapping (VSLAM),” a Presentation from Cadence

Algorithms, Cadence, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Amol Borkar, Product Marketing Director, and Shrinivas Gadkari, Design Engineering Director, both of Cadence, co-present the “Introduction to Visual Simultaneous Localization and Mapping (VSLAM)” tutorial at the May 2024 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) is widely used in industry and has numerous applications where camera or ego-motion… “Introduction to Visual Simultaneous Localization

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“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Haghighat

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Independent consultant Mohammad Haghighat presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2023 Embedded Vision Summit. This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then transition to explaining the basics of machine learning and

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“Understanding, Selecting and Optimizing Object Detectors for Edge Applications,” a Presentation from Walmart Global Tech

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Retail, Software, Summit 2023, Tools, Videos /

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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“Introduction to Modern LiDAR for Machine Perception,” a Presentation from the University of Ottawa

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2023, Tools, Videos /

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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“Introduction to the CSI-2 Image Sensor Interface Standard,” a Presentation from the MIPI Alliance

Edge AI and Vision Alliance, Sensors and Cameras, Summit 2023, Videos /

Haran Thanigasalam, Camera and Imaging Consultant to the MIPI Alliance, presents the “Introduction to the MIPI CSI-2 Image Sensor Interface Standard” tutorial at the May 2023 Embedded Vision Summit. By taking advantage of select features in standardized interfaces, vision system architects can help reduce processor load, cost and power consumption while gaining flexibility to source

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“Introduction to Optimizing ML Models for the Edge,” a Presentation from Cisco Systems

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2023, Tools, Videos /

Kumaran Ponnambalam, Principal Engineer of AI, Emerging Tech and Incubation at Cisco Systems, presents the “Introduction to Optimizing ML Models for the Edge” tutorial at the May 2023 Embedded Vision Summit. Edge computing opens up a new world of use cases for deep learning across numerous markets, including manufacturing, transportation, healthcare and retail. Edge deployments

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“Multiple Object Tracking Systems,” a Presentation from Tryolabs

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Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2023 Embedded Vision Summit. Multiple object tracking (MOT) 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 session, Berneche walks through the

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“Fundamentals of Training AI Models for Computer Vision Applications,” a Presentation from GMAC Intelligence

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Amit Mate, the founder and CEO of GMAC Intelligence, presents the “Fundamentals of Training AI Models for Computer Vision Applications” tutorial at the May 2023 Embedded Vision Summit. In this presentation, Mate introduces the essential aspects of training convolutional neural networks (CNNs). He discusses the prerequisites for training, including models, data and training frameworks, with

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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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