Object Tracking

“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Gareth Cross

Independent game developer (and former technical lead of state estimation at Skydio) Gareth Cross presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the May 2021 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross aims to provide foundational knowledge, and viewers are not […]

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Struggles of Running Object Detection on a Raspberry Pi

Frustrated man (Image by Gerd Altmann from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Have you ever been so excited after reading a how-to tutorial or a github readme file, only to discover after following it through that it is not really as

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September 2020 Embedded Vision Summit Slides

The Embedded Vision Summit was held online on September 15-25, 2020, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in PDF form. To… September 2020 Embedded Vision Summit

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“A Computer Vision-Based Personal Trainer That Runs On Your Phone,” a Presentation from Twenty BN

Roland Memisevic, CEO, Chief Scientist and Founder of Twenty BN, presents the “Computer Vision-Based Personal Trainer That Runs On Your Phone” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Memisevic describes Twenty BN’s journey towards building an AI-powered personal trainer that runs on your phone. The trainer takes the form of an

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“Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild,” a Presentation from Skydio

Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild” tutorial at the September 2020 Embedded Vision Summit. Skydio ships autonomous robots that are flown at scale in complex, unknown environments every day to capture incredible video, automate dangerous inspections and save lives of first responders.

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“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Skydio

Gareth Cross, Technical Lead for State Estimation at Skydio, presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the September 2020 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross provides foundational knowledge; viewers are not expected to have any prerequisite experience in the

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“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland

Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking” tutorial at the September 2020 Embedded Vision Summit. The recent COVID-19 outbreak necessitated monitoring in communities such as tracking of quarantined residents and tracking of close-contact interactions with sick individuals. High-density communities also have

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“Eye Tracking for the Future,” a Presentation from Parallel Rules

Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the Future” tutorial at the September 2020 Embedded Vision Summit. Eye tracking is an increasingly important technology for applications ranging from augmented and virtual reality head-mounted displays to automotive driver monitoring. In this talk, Milford introduces eye tracking techniques and technical challenges. He also

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to

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SLAMcore Debuts Full-stack Spatial AI SDK in Industry Competition

This blog post was originally published at SLAMcore’s website. It is reprinted here with the permission of SLAMcore. The three most challenging questions in autonomous robotics are: where am I? how far away are the objects around me? and, what are those objects? The vast majority of robot failures stem from an inability to answer

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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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