Algorithms

Understanding Today’s Edge AI

This blog post was originally published at Silo AI’s website. It is reprinted here with the permission of Silo AI. Similarly to AI, edge AI should be approached as an umbrella term. Edge AI is not a model but an entire technology stack. Like AI, there’s an incredible amount of different technologies and methods underneath […]

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Free Webinar Explores How ISPs are Key to Optimizing Image Quality and Computer Vision Accuracy

On January 24, 2024 at 9 am PT (noon ET), Suresh Madhu, Head of Product Marketing, and Arun Asokan, Head of the ISP Division, both of e-Con Systems, will present the free hour webinar “Mastering Image Quality: The Power of Imaging Signal Processors in Embedded Vision,” organized by the Edge AI and Vision Alliance. Here’s

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“Learning Compact DNN Models for Embedded Vision,” a Presentation from the University of Maryland at College Park

Shuvra Bhattacharyya, Professor at the University of Maryland at College Park, presents the “Learning Compact DNN Models for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit. In this talk, Bhattacharyya explores methods to transform large deep neural network (DNN) models into effective compact models. The transformation process that… “Learning Compact DNN Models for

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

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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“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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Modern Vehicles See More with Computer Vision

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Snapdragon Ride Vision System is designed to enhance vehicle perception for safer driving experiences Today’s drivers reap the benefits of active safety features in their vehicles. Automatic emergency braking, lane departure warnings, blind spot detection and

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Heart Rate Detection with Open CV

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Heart rate detection with Open CV It’s probably no surprise to you that heart rate can be measured using different gadgets like smartphones or smartwatches. But did you know you can measure it using just the  camera

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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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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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