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Au-Zone Technologies

“Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies

Sébastien Taylor, Vice President of Research and Development at Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the May 2023 Embedded Vision Summit. Vision applications often rely on object detectors, which determine the nature and location of objects in a scene. But many vision applications require a different type of visual understanding: semantic […]

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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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Urban Pothole Detection – Use Case

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Cost of Potholes in the Urban Environment A country such as Canada, where the temperature fluctuates on a regular basic, increases the odds of potholes on highway/motorways. Increased number of potholes not only lead to

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DNN-Based Object Detectors

This article was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Unlike image classifiers, which simply report on the most important objects within an image, object detectors determine where objects of interest are located, their sizes and class labels within an image. Consequently, object detectors are central

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“Understanding DNN-Based Object Detectors,” a Presentation from Au-Zone Technologies

Azhar Quddus, Senior Computer Vision Engineer at Au-Zone Technologies, presents the “Understanding DNN-Based Object Detectors” tutorial at the May 2022 Embedded Vision Summit. Unlike image classifiers, which merely report on the most important objects within or attributes of an image, object detectors determine where objects of interest are located within an image. Consequently, object detectors

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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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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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