Au-Zone Technologies stands at the forefront of embedded computer vision, AI, and spatial precision technologies, empowering our clients to confidently deploy the latest in intelligent perception and applied solutions. With over 15 years of experience as a trusted technology partner, we collaborate with OEMs, engineering teams, and research groups across diverse industrial sectors, including commercial video telematics, marine mapping, space automation, off-road equipment, and autonomous robotics platforms. Our advanced 3D spatial perception technology, featuring an industry-first radar+vision perception engine, AI-accelerated tooling, and field-proven AI models, facilitates the rapid development of machines capable of safe and autonomous operation in dynamic and unpredictable environments.
Au-Zone Technologies
Recent Content by Company
Alliance Members at 2025 CES
The Edge AI and Vision Alliance 2025 CES Directory for game-changing computer vision and AI technologies Many Alliance Member companies will be showing off the latest building-block technologies that enable new capabilities for machines that see! CES is huge so we’ve created a handy checklist of these companies and where to find them including how […]
“An Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies
Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the May 2024 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… “An Introduction to Semantic Segmentation,” […]
“Augmenting Visual AI through Radar and Camera Fusion,” a Presentation from Au-Zone Technologies
Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Augmenting Visual AI through Radar and Camera Fusion” tutorial at the May 2024 Embedded Vision Summit. In this presentation Taylor discusses well-known limitations of camera-based AI and how radar can be leveraged to address these limitations. He… “Augmenting Visual AI through Radar […]
“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 […]
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 […]
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 […]
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 […]
“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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
“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 […]
“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. […]
“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 […]
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 […]
“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
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 […]
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 […]
