Object Identification

Automatically Measuring Soccer Ball Possession with AI and Video Analytics

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. The World Cup is just around the corner and in Tryolabs everybody is excited to have their national team compete. As the teams prepare for the event, they more than ever rely on AI-assisted sports analytics for inspecting […]

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Announcing Norfair 2.0: An Open-source Real-time Multi-object Tracking Library

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. We are excited to announce the release of Norfair 2.0, available in GitHub and PyPI as of now. This is the biggest upgrade to Tryolabs’ open-source multi-object tracking library since its first release two years ago. For

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How AI Cameras Can Unlock Analytical Power with Deep Learning

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. ML/DL-driven AI camera systems are powering embedded vision applications by helping make intelligent real-time decisions. Discover their main functions and viable use cases, and see why e-con Systems’ SmarteCAM is the smart AI camera for

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Monitoring Protection Gear in Hazardous Working Spaces Using DeepView ModelPack & VisionPack

This article was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Working in a hazardous environment always requires protection to prevent injuries. In most fatal accidents the workers are not wearing the right protection or using it properly. Due to the dynamic nature of some work, danger

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DeGirum Demonstration of Machine Learning Model Multiplexing on ORCA

Shashi Chilappagari, Co-Founder and Chief Architect at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the March 2023 Edge AI and Vision Innovation Forum. Specifically, Chilappagari demonstrates machine learning model multiplexing on the company’s ORCA AI hardware accelerator. Developing real-world edge AI applications often requires using multiple machine learning (ML)

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Plumerai People Detection AI Now Runs on Espressif ESP32-S3 MCU

This blog post was originally published at Plumerai’s website. It is reprinted here with the permission of Plumerai. Plumerai People Detection AI is now available on Espressif’s ESP32-S3 microcontroller! Trained with more than 30 million images, Plumerai’s AI detects each person in view, even if partially occluded, and tracks up to 20 people across frames.

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Ultinous AI Video Analytics Works with Nx

This video was originally published at Network Optix’ website. It is reprinted here with the permission of Network Optix. Ultinous provides forensic and real-time video analytics on edge and in the cloud for real-world health and safety and security applications. Ultinous AI Video Analytics is integrated with Powered by Nx products via the HTTP REST

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Urban Pothole Detection – Use Case

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Cost of Potholes in the Urban Environment A country such as Canada, where the temperature fluctuates on a regular basic, increases the odds of potholes on highway/motorways. Increased number of potholes not only lead to

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Syntiant Demonstration of Its Always-on Battery-powered Computer Vision Capabilities

Ron Kamm, Application Engineer at Syntiant, demonstrates the company’s latest edge AI and vision technologies and products at the December 2022 Edge AI and Vision Innovation Forum. Specifically, Kamm gives an overview of the company’s complete edge AI computer vision solutions for consumer, commercial enterprise and automotive applications. The demonstration shows both Syntiant’s ultra-low-power vision

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Parallel Processing Using Python for Faster Video Processing

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. How can we speed up video processing? Parallel processing is the answer! If you want to process a number of video files, it might take from minutes to hours, depending on the size of the video, frame

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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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