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Au-Zone Technologies

www.embeddedml.com

Au-Zone Technologies is a leading provider of development tools, engineering design services, and enabling IP used for the design of intelligent embedded vision products and solutions. By utilizing our development tools (eCV SDK and DeepView IDE) we enable engineering teams to quickly develop and deploy hardware accelerated computer vision algorithms and novel Convolutional Neural Networks on heterogeneous compute devices. Through our engineering consulting engagements and turnkey product development services, we help our clients lower development costs, mitigate program risk and shorten time to revenue when designing new vision enabled products.As an ecosystem partner, these development tools, design services and related IP help technology vendors to broaden their market opportunities and better serve their customers.

Recent Content by Company

Advanced Detection Models

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. In many computer vision applications, detection algorithms are the ‘bread and butter’, whether it be for detecting faces, people, vehicles, or any other objects. If you’re developing a computer vision application, you’re probably familiar with …

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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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Introducing Au-Zone Technologies

This video was originally published at Au-Zone Technologies’ YouTube channel. It is reprinted here with the permission of Au-Zone Technologies Building on over 2 decades of engineering design services and applied embedded computer vision experience, Au-Zone technologies is helping push technical boundaries of deploying AI and ML solutions at the edge. Whether you need turn-key …

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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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Smart City Demonstration Powered by DeepView Middleware

This video demonstrates how the DeepView Vision Starter Kit | Micro was used to build a real-world remote vehicle detection system for a parking use case example. Au-Zone Technologies’ low-cost DeepView Vision Starter Kit | Micro is ideal for remote site monitoring with limited connectivity bandwidth, as all the imaging processing and machine learning is …

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Visual Intelligence for IoT

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. It wasn’t that long-ago computer vision applications with AI/ML intelligence required systems with extensive compute capability, lots of memory and high-end industrial cameras. The notion of adding computer vision with ML capability to cost sensitive …

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Demonstration of Object Detection and Tracking on a MCU

This object detection and tracking demonstration showcases the DeepView Application Pack, developed by Au-Zone Technologies.

Upcoming Webinar Explores How to Accelerate Your Visual Intelligence Project

On March 1, 2022 at 8:00 am PT (11:00 am ET), Alliance Member companies Au-Zone Technologies and NXP Semiconductors, along with Toradex, will deliver the free webinar “Accelerate your Visual Intelligence Project with the Maivin AI Vision Starter Kit.” From the event page: Are you an embedded developer looking to add visual intelligence capabilities to …

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ML at the Edge: Visual Intelligence with a Low-cost MCU

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Creating a dataset can be one of the most challenging aspects of creating a reliable model to work with. At Au-Zone we created a playing card dataset to show off the capabilities of our in-house …

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Demonstration of Pedestrian Detection and Classification

This pedestrian detection and classification demonstration showcases the DeepView Model Pack and Maivin AI Vision Starter Kit, both developed by Au-Zone Technologies. The Maivin AI Vision Starter Kit is a modular AI smart camera platform built on NXP’s i.MX8MPlus applications processors and production-grade hardware and software components to enable rapid prototyping and field deployment of …

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Shortcut to Series Production: Modular Maivin i.MX 8M Plus AI Vision Kit from AU-Zone, Toradex and Vision Components

July 28, 2021 – For proof of concept, rapid prototyping and small series production, AU-Zone and Toradex, working in close cooperation with Vision Components, have developed the modular Maivin i.MX 8M Plus AI Vision Kit. The developer kit is based on a Toradex Verdin i.MX 8M Plus System-on-Module and a carrier board, which AU-Zone designed …

Shortcut to Series Production: Modular Maivin i.MX 8M Plus AI Vision Kit from AU-Zone, Toradex and Vision Components Read More +

Machine Learning Goes Mainstream – NXP’s eIQ ML Software Development Environment Just Got Smarter and Friendlier

This blog post was originally published by NXP Semiconductors. It is reprinted here with the permission of NXP Semiconductors. Edge intelligence is one of the most disruptive innovations since the advent of the Internet of Things (IoT). While the IoT gave rise to billions of smart, connected devices transmitting countless terabytes of sensor data for …

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Upcoming Webinar Explores Rapid Machine Learning Model Development

On July 8, 2021 at 8:00 am PT (11:00 am ET), Alliance Member company NXP will deliver the free webinar “Data To Inference In Under 30 Minutes: Machine Learning Development With Nxp eIQ Software”, in partnership with fellow Alliance Member company Au-Zone Technologies. From the event page: No matter your experience level or the data …

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“Tools and Techniques for Optimizing DNNs on Arm-based Processors with Au-Zone’s DeepView ML Toolkit,” a Presentation from Au-Zone Technologies

Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, presents the “Tools and Techniques for Optimizing DNNs on Arm-based Processors with Au-Zone’s DeepView ML Toolkit” tutorial at the May 2019 Embedded Vision Summit. In this presentation, Taylor describes methods and tools for developing, profiling and optimizing neural network solutions for deployment on Arm MCUs, CPUs and …

“Tools and Techniques for Optimizing DNNs on Arm-based Processors with Au-Zone’s DeepView ML Toolkit,” a Presentation from Au-Zone Technologies Read More +

“Harnessing the Edge and the Cloud Together for Visual AI,” a Presentation from Au-Zone Technologies

Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, presents the “Harnessing the Edge and the Cloud Together for Visual AI” tutorial at the May 2018 Embedded Vision Summit. Embedded developers are increasingly comfortable deploying trained neural networks as static elements in edge devices, as well as using cloud-based vision services to implement visual intelligence remotely. …

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“Deploying CNN-based Vision Solutions on a $3 Microcontroller,” a Presentation from Au-Zone Technologies

Greg Lytle, VP of Engineering at Au-Zone Technologies, presents the “Deploying CNN-based Vision Solutions on a $3 Microcontroller” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Lytle explains how his company designed, trained and deployed a CNN-based embedded vision solution on a low-cost, Cortex-M-based microcontroller (MCU). He describes the steps taken to …

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Implementing Vision with Deep Learning in Resource-constrained Designs

DNNs (deep neural networks) have transformed the field of computer vision, delivering superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence, which had been solved quite well with conventional techniques, are now finding even better …

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“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies

Rafal Malewski, Head of the Graphics Technology Engineering Center at NXP Semiconductors, and Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, present the "Implementing an Optimized CNN Traffic Sign Recognition Solution" tutorial at the May 2017 Embedded Vision Summit. Now that the benefits of using deep neural networks for image classification are well known, the …

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies Read More +

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies

Rafal Malewski, Head of the Graphics Technology Engineering Center at NXP Semiconductors, and Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, present the "Implementing an Optimized CNN Traffic Sign Recognition Solution" tutorial at the May 2017 Embedded Vision Summit. Now that the benefits of using deep neural networks for image classification are well known, the …

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies Read More +

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Software Frameworks and Toolsets for Deep Learning-based Vision Processing

This article provides both background and implementation-detailed information on software frameworks and toolsets for deep learning-based vision processing, an increasingly popular and robust alternative to classical computer vision algorithms. It covers the leading available software framework options, the root reasons for their abundance, and guidelines for selecting an optimal approach among the candidates for a …

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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.

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
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