Object Identification

Nota AI Demonstration of Machine Learning at the Edge on Arm Platforms with NetsPresso AutoML

Won Eui Hong, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2023 Embedded Vision Summit. Specifically, Hong demonstrates how Nota AI’s NetsPresso AutoML solutions enable machine learning at the edge on Arm platforms. It is very critical to enable a vibrant machine […]

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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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GMAC Intelligence Goes Big with BrainChip Partnership

Laguna Hills, Calif. – July 16, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event- based, neuromorphic AI IP, welcomes AI/ML software company GMAC Intelligence as a partner to its Essential AI ecosystem. The Audience Choice Award Winner at the 2023 Vision

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What is Sports Analytics, and How is Embedded Vision Reimagining It?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Embedded vision and sports analytics go hand-in-hand as the collected image and video data can help analyze player speed/performance, ball position, etc. Find out how these two technologies have been changing the world of sports

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“Building Large-scale Distributed Computer Vision Solutions Without Starting from Scratch,” a Presentation from Network Optix

Darren Odom, Director of Platform Business Development at Network Optix, presents the “Building Large-scale Distributed Computer Vision Solutions Without Starting from Scratch” tutorial at the May 2023 Embedded Vision Summit. Video is hard. Network Optix makes it really easy. Video has the potential to become a valuable source of operational data for business, especially with

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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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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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