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MediaTek Demonstration of a Robotics Platform

Sunil Chhugani, Director of Business Development, and Stephane Le Provost, Senior Director of Technology, both of MediaTek USA, demonstrate the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Chhugani and Le Provost demonstrate a robotics platform. Key characteristics of the demonstration: Powered by MediaTek Genio 500 running […]

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Avnet Demonstration of Lighting-fast Stereo Facial Recognition with NXP’s i.MX 8M Plus

Monica Houston, Technical Marketing Manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Houston demonstrates a stereo facial recognition application running on Avnet’s Edge AI Development Kit. The kit is based on a production-ready SMARC module from Avnet Embedded and uses NXP’s i.MX

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Renesas Expands RZ/V Series with Built-in Vision AI Accelerator for Accurate Image Recognition and Multi-Camera Image Support

New RZ/V2MA MPU Features an OpenCV Accelerator for Image Processing and Offers TVM-based Deep Learning Compiler September 29, 2022 ― TOKYO, Japan ― Renesas Electronics Corporation (TSE: 6723), a premier supplier of advanced semiconductor solutions, has expanded its AI-capable RZ/V Series of microprocessors (MPUs), with a new device that enables AI processing of image data

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How to Build a Custom Embedded Stereo System for Depth Perception

This article was originally published at Teledyne FLIR’s website. It is reprinted here with the permission of Teledyne FLIR. There are various 3D sensor options for developing depth perception systems including, stereo vision with cameras, lidar, and time-of-flight sensors.  Each option has its strengths and weaknesses.  A stereo system is typically low cost, rugged enough

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Edge AI and Vision Insights: January 12, 2022 Edition

LETTER FROM THE EDITOR Dear Colleague, Do you work at an early-stage start-up company developing a new product or service incorporating or enabling computer vision or visual AI? Do you want to raise awareness of your company and products with potential customers, investors and partners? Enter the seventh annual Vision Tank Start-Up Competition, offering start-up

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Coherent Logix Demonstration of Ultra-low Latency Industrial Inspection at the Edge Using the HyperX Processor

Martin Hunt, Director of Applications Engineering at Coherent Logix, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Hunt demonstrates ultra-low latency industrial inspection at the edge using the company’s HyperX processor. In this demo, Hunt shows how to use the HyperX Memory Network parallel processor

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Edge AI and Vision Insights: October 27, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, The next Embedded Vision Summit will take place as a live event from May 17-19, 2022 in Santa Clara, California. The Embedded Vision Summit is the key event for system and application developers who are incorporating computer vision and visual AI into products. It attracts a unique audience of

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Real-time Face Detection on Raspberry Pi

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. A step-by-step guide to implement real-time face detection on a Raspberry Pi running 24 frames per second. In this post, I will guide you through a step-by-step process of implementing real-time face detection on a Raspberry Pi, running

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Edge AI and Vision Insights: September 28, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, Today, September 28 at 9 am PT, Sequitur Labs will deliver the free webinar “Securing Smart Devices: Protecting AI Models at the Edge” in partnership with the Edge AI and Vision Alliance. Billions of new IoT devices are expected to come online in just the next few years. Securing

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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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