Object Identification

“Instant Item Training: Practical AI for the Retail Industry,” a Presentation from Mashgin

Mukul Dhankhar, Co-founder and CTO of Mashgin, presents the “Instant Item Training: Practical AI for the Retail Industry” tutorial at the May 2022 Embedded Vision Summit. Mashgin makes computer-vision (CV) based checkout systems for convenience stores, airports, cafeterias and stadiums. Building AI applications for the real world presents unique challenges—both business and technical. In this […]

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“The Future of Retail is Here, and It’s Powered by Embedded Computer Vision,” a Presentation from Grabango

Will Glaser, Founder and Chief Executive Officer of Grabango, presents the “Future of Retail is Here, and It’s Powered by Embedded Computer Vision” tutorial at the May 2022 Embedded Vision Summit. Now that computers can see, the way people interact with things will never be the same. Grabango’s checkout-free shopping system allows you to shop

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How to Annotate Your Images Using the MakeSense Tool

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. In this post, we will cover the details of annotating images using the MakeSense annotation tool. Imagine you just got an exciting project where you have to build a program to detect if a door is open

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“Understanding DNN-Based Object Detectors,” a Presentation from Au-Zone Technologies

Azhar Quddus, Senior Computer Vision Engineer at Au-Zone Technologies, presents the “Understanding DNN-Based Object Detectors” tutorial at the May 2022 Embedded Vision Summit. Unlike image classifiers, which merely report on the most important objects within or attributes of an image, object detectors determine where objects of interest are located within an image. Consequently, object detectors

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“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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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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