Object Identification

“Human-centric Computer Vision with Synthetic Data,” a Presentation from Unity Technologies

Alex Thaman, Chief Software Architect at Unity Technologies, presents the “Human-centric Computer Vision with Synthetic Data” tutorial at the May 2022 Embedded Vision Summit. Companies are continuing to accelerate the adoption of computer vision to detect, identify and understand humans from camera imagery. Unity sees these human-centric use cases in a growing range of applications […]

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“A Platform Approach to Developing Networked Visual AI Systems,” a Presentation from Network Optix

Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit. Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range of applications that monitor people,

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“FOMO: Real-Time Object Detection on Microcontrollers,” a Presentation from Edge Impulse

Jan Jongboom, Co-founder and CTO of Edge Impulse, delivers the “FOMO: Real-Time Object Detection on Microcontrollers” tutorial at the May 2022 Embedded Vision Summit. Object detection models are vital for many computer vision applications. They can show where an object is in a video stream, or how many objects are present. But they’re also very

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May 2022 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 16-19, 2022 in Santa Clara, California, 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… May 2022 Embedded Vision Summit

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Exploring Data Labeling and the 6 Different Types of Image Annotation

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Data labeling is an essential step in a supervised machine learning task. The same is true for image annotation. Data labeling and image annotations must work together to paint a complete picture. If you show a child

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Protecting Critical Infrastructure Using Network Edge AI Platform

This blog post was originally published at Lanner Electronics’ website. It is reprinted here with the permission of Lanner Electronics. Background Forest fires may have a variety of origins and causes but early detection and warning methods used to limit the extent of their damage are largely the same. Now, cutting-edge AI technology is enabling

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Live Object Detection Demo Using OpenVINO

Welcome to the first episode of Intel’s Edge Innovation Series for Developers! Meet your hosts, Stephanie Essin and Ragesh Hajela. They are two techies going on a developer discovery journey together, uncovering how to use Intel® developer resources and tools (like OpenVINO™) to speed up development, tinker with cool demos, and show you what is

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Smart City Demonstration Powered by DeepView Middleware

This video demonstrates how the DeepView Vision Starter Kit | Micro was used to build a real-world remote vehicle detection system for a parking use case example. Au-Zone Technologies’ low-cost DeepView Vision Starter Kit | Micro is ideal for remote site monitoring with limited connectivity bandwidth, as all the imaging processing and machine learning is

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Use Nx Meta to Build Enterprise, AI-Enabled Video Solutions at the Edge

This blog post was originally published at Network Optix’ website. It is reprinted here with the permission of Network Optix. In this article we’re going to take a look at Edge computing and how Nx Meta can help your organization rapidly develop full-stack AI-enabled video management applications. First: The Opportunity One of the largest emerging

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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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