Tools

“How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy,” a Presentation from Algolux

Marc Courtemanche, Atlas Product Architect at Algolux, presents the “How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy” tutorial at the May 2021 Embedded Vision Summit. Computer vision (CV) works on images pre-processed by a camera’s image signal processor (ISP). For the ISP to provide subjectively “good” image quality (IQ), […]

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Integrate Face Detection in Your Application

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Don’t be overwhelmed, because adding face detection to your applications has never been so easy! A lot of the times, face detection is not the primary focus of the application but is an important component and many

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Mindtech Releases New Features for Chameleon – the Synthetic Data Creation Platform for Training AI Vision Systems

Sheffield, 11 August 2021, Mindtech Global announces the latest update to their end-to-end platform for the creation and curation of synthetic images for training AI vision systems. This release brings an enhanced platform user experience, simplifying the creation of complex scenarios, with comprehensive new data discovery, bias and diversity management tools. New automated real-world behavioral

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“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “TinyML Isn’t Thinking Big Enough” tutorial at the May 2021 Embedded Vision Summit. Today, TinyML focuses primarily on shoehorning neural networks onto microcontrollers or small CPUs but misses the opportunity to transform all of ML because of two unfortunate assumptions: first, that tiny models must make significant performance

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Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning

This blog post was originally published at Edge Impulse’s website. It is reprinted here with the permission of Edge Impulse. Today we are excited to announce the launch of Edge Impulse’s new auto machine learning tool, the EON Tuner! The EON Tuner helps you find and select the best embedded machine learning model for your

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“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIA

Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit. Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this

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“Deploying an Autonomous Valet Parking Solution with Cameras Using AI,” a Presentation from Nextchip and VADAS

James Kim, Marketing Team Leader at Nextchip, and Peter Lee, CEO of VADAS, co-present the “Deploying an Autonomous Valet Parking Solution with Cameras Using AI” tutorial at the May 2021 Embedded Vision Summit. In this talk, Nextchip’s Kim explains why his company targeted autonomous valet parking (AVP) with its newest APACHE6 SoC, and how Nextchip

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Free Webinar Explores How to Optimize ML Model Accuracy in Resource-constrained Embedded Applications

On September 16, 2021 at 9 am PT (noon ET), Jan Jongboom, CTO and co-founder of Edge Impulse, will present the free hour webinar “Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Finding the

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“DepthAI: Embedded, Performant Spatial AI and Computer Vision,” a Presentation from Luxonis

Brandon Gilles, CEO of Luxonis, presents the “DepthAI: Embedded, Performant Spatial AI and Computer Vision” tutorial at the May 2021 Embedded Vision Summit. Performant spatial AI and CV enables human-like perception and real-time interaction with the world. But embedding performant spatial AI and CV into actual products is difficult, costly and time-consuming. DepthAI makes building

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“Flexible Machine Learning Solutions with Lattice FPGAs,” a Presentation from Lattice Semiconductor

Sreepada Hegade, Senior Manager for ML Software and Solutions at Lattice Semiconductor, presents the “Flexible Machine Learning Solutions with Lattice FPGAs” tutorial at the May 2021 Embedded Vision Summit. The ability to perform neural network inference in resource-constrained devices is fueling the growth of machine learning at the edge. But application solutions require more than

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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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PO Box #4446
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