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Object Tracking at the Edge

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. The introduction of low cost, powerful Arm processors coupled with the advances in machine learning techniques provides the foundation for intelligent computer vision edge devices. Computer vision at the edge will drive the shift from […]

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Real-time Medical Imaging Using OpenVINO

Welcome back to Edge Innovation Series for Developers! This time around, Steph and Ragesh explore a new use case around medical imaging for kidney CT scans and an AI healthcare solution powered with OpenVINOâ„¢: the GE Healthcare Clinical Care Suite. They also touch on the OpenVINOâ„¢ Post-Training Optimization Tool, AutoQ (an automated mixed-precision quantization technique),

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Automatic License Plate Recognition with Hailo-8

This blog post was originally published at Hailo’s website. It is reprinted here with the permission of Hailo. In this blog post, we present Hailo’s License Plate Recognition (LPR) implementation (also known as Automatic Number Plate Recognition or ANPR). The presented solution can be used in Intelligent Transportation Systems (ITS) and is a good example

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13 Free Resources and Model Zoos for Deep Learning and Computer Vision Models

This blog post was originally published at Deci’ website. It is reprinted here with the permission of Deci. Computer vision is a fast-growing subfield of AI and deep learning. From cashierless stores in retail to crop detection in agriculture, there’s an increasing interest in CV applications. This has created a vibrant community that gladly shares

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Multilayer Perceptrons (MLP) in Computer Vision

This technical article was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Convolutional neural networks (CNNs) still dominate today’s computer vision. Recently, however, networks based on transformer blocks have also been applied to typical computer vision tasks such as object classification, detection, and segmentation, attaining state-of-the-art results

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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 OpenVINOâ„¢) to speed up development, tinker with cool demos, and show you what is

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Works with Nx Integrations Ecosystem: The What, The Why, and How to Join

This blog post was originally published at Network Optix’ website. It is reprinted here with the permission of Network Optix. Interested in becoming a Works with Nx partner or totally new to the concept? You’re in the right place! In this blog, we dive into the What, the Why, and the How of the Works

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Deci Boosts Computer Vision and NLP Models’ Performance at MLPerf

Deci’s submissions deliver breakthrough accuracy & throughput performance across CV and NLP models on Intel’s CPUs Tel Aviv, Israel, April 6, 2022 – Deci, the deep learning company harnessing Artificial Intelligence (AI) to build AI, announced its results for both Computer Vision (CV) and Natural Language Processing (NLP) inference models that were submitted to the

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Is the New NVIDIA Jetson AGX Orin Really a Game Changer? We Benchmarked It

This technical article was originally published by SmartCow AI Technologies. It is reprinted here with the permission of SmartCow AI Technologies. On March 22th 2022, NVIDIA announced the availability of its new edge computing platform, the Jetson AGX Orinâ„¢ developer kit. The production version is being released on Q4 2022 at roughly the same price

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A Tutorial on Implementing Visual Intelligence with a Low Cost MCU

In the fall of 2021, Alliance Member companies Au-Zone Technologies and NXP Semiconductors co-presented the webinar “ML at the Edge: Visual Intelligence with a Low Cost MCU” as an accompaniment to their technical blog post on the topic. If you missed the webinar, you can view the archive recording here. From the event page: Are

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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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