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Object Tracking Functions

“Item Recognition in Retail,” a Presentation from 7-Eleven

Sumedh Datar, Senior Machine Learning Engineer at 7-Eleven, presents the “Item Recognition in Retail” tutorial at the May 2023 Embedded Vision Summit. Computer vision has vast potential in the retail space. 7-Eleven is working on fast frictionless checkout applications to better serve customers. These solutions range from faster checkout systems… “Item Recognition in Retail,” a

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“Multiple Object Tracking Systems,” a Presentation from Tryolabs

Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2023 Embedded Vision Summit. Multiple object tracking (MOT) is an essential capability in many computer vision systems, including applications in fields such as traffic control, self-driving vehicles, sports and more. In this… “Multiple Object Tracking Systems,” a

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“Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies

Sébastien Taylor, Vice President of Research and Development at Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the May 2023 Embedded Vision Summit. Vision applications often rely on object detectors, which determine the nature and location of objects in a scene. But many vision applications require a different… “Introduction to Semantic Segmentation,” a

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Nota AI Demonstration of Revolutionizing Intelligent Transportation Systems with Nota ITS

YooChan Kim, Product Marketing Manager at Nota America Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kim demonstrates Nota ITS, a lightweight AI model-based approach for traffic analysis and revolutionizing intelligent transportation systems. Nota ITS includes AI Traffic Cameras, AI Traffic Signal Control, AI

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Network Optix Demonstration of Its Desktop Client, Harnessing Open Source for Custom Solutions

Sergey Yuldashev, Platform Engagement Director at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Yuldashev demonstrates Network Optix’ acclaimed desktop client. Known as the foundation of one of the world’s leading Video Management Systems (VMS) for the past decade, Network Optix took a

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Network Optix Demonstration of Its NX Platform for Empowering Video-focused Applications

Darren Odom, Senior Director of Platform Business Development at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Odom demonstrates Network Optix’ NX platform. Designed to serve as a foundation for building video-focused software as a service applications, the NX platform has already been

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Network Optix Demonstration of Its Solution for Navigating the Video Infrastructure in the Era of AI

Darren Odom, Senior Director of Platform Business Development at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Odom demonstrates Network Optix’ robust edge-to-cloud platform. Offering a comprehensive solution for video infrastructure, this platform makes efficient use of small processors, thus making it an

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Hailo Demonstration of Art of Logic’s Video Management System

Yaniv Iarovici, Head of Business Development at Hailo, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Iarovici demonstrates a powerful, complete video management system (VMS) solution for public safety and security. The VMS leverages the Samurai Detect video analytics application developed by Hailo’s software partner,

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DeGirum Demonstration of Efficient Pipelining of Multiple Models Using DeGirum PySDK

Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s hardware (ORCA) and software (PySDK). Chilappagari demonstrates PYSDK’s ability to pipeline multiple machine learning models by showcasing a use case in which the output of one

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DeGirum Demonstration of Running Multiple Object Detection Models in Parallel on DeGirum ORCA

Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s hardware (ORCA) and software (PySDK). Chilappagari demonstrates a use case in which three YOLOv5-based object detection models (hand detection, face detection, and person detection) are running

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BrainChip Demonstration of Sensor-agnostic, Event-based, Untethered Edge AI Inference and Learning

Nandan Nayampally, Chief Marketing Officer and Head of Product at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Nayampally demonstrates the value propositions of BrainChip’s Akida platform. The Akida platform provides efficient AI edge processing, easily integrated fully digital IP, and a full stack

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BrainChip Demonstration of Vision and Edge Learning Solutions for Event- and Frame-based Cameras

Nikunj Kotecha, Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kotecha demonstrates BrainChip’s brain-inspired Akida platform. With the Akida platform, AI applications are free from the tethers of the cloud and can learn independently. Whether recognizing faces in conventional webcam images

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Edge Impulse Demonstration of FOMO: Constrained Object Detection on Embedded Devices

Shawn Hymel, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Hymel demonstrates (“Faster Objects, More Objects”), a novel machine learning algorithm that brings object detection to highly constrained devices. FOMO lets you count objects, find the location of

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Leopard Imaging and DMS: STMicroelectronics’ VB56G4A and AI are Finally Making a 20-year-old Idea Mainstream

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. While driver-monitoring systems are not new, Leopard Imaging’s cabin camera modules at the Embedded Vision Summit in May represented a milestone because they inaugurated a path to democratization. The ST Authorized Partner already makes several in-cabin camera

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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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