Software

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

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

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

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

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

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

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

Algorithms, Automotive, Blog Posts, Object Identification, Object Tracking, Processors, Qualcomm, Sensors and Cameras, Software, Tools /

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

Algorithms, Blog Posts, Digica, Face Detection, Medical, Object Identification, Object Tracking, Software, Tools /

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

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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“Vision-language Representations for Robotics,” a Presentation from the University of Pennsylvania

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

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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Dragonfly Base: Enhancing Indoor Localization in Challenging Environments with Visual Markers

Aerospace and Defense, Algorithms, Blog Posts, Industrial Vision (Computer Vision), Object Identification, Object Tracking, Onit, Retail, Robotics, Sensors and Cameras, Software, Tools /

We’re thrilled to share the second episode of our Dragonfly video series. In this video, we delve deeper into Dragonfly’s capabilities, specifically focusing on how we enhance indoor localization under challenging conditions. Key Takeaways: The significance of visual markers in Computer Vision and Visual SLAM. Our ingenious solution—visual markers on the ceiling—ensuring consistent and accurate

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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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“ADAS: What’s Working and What Isn’t?,” An Interview by the Ojo-Yoshida Report with TechInsights

Algorithms, Automotive, Edge AI and Vision Alliance, Market Analysis, Processors, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

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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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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