Nx AI Manager plugin documentation

Following , we've been diligently working towards the launch of version 4.1 of the AI Manager, which will coincide with the release of Nx Meta gen 6. This upgraded AI Manager will introduce exciting new features and significantly deeper integration with the Nx EVOS ecosystem.

Consequently, our AI Manager documentation is undergoing rapid transformation to provide you with the most current and comprehensive information available. However, please note that the documentation may occasionally lag behind our fast-paced development towards the version 4/gen 6 release. Rest assured, we fully commit to delivering comprehensive documentation before the final release!

Ensure you download Nx Meta version 6.0 or later to use the Nx AI Plugin.

The Nx AI Manager plugin is a tool that enables you to create and manage large-scale Edge AI solutions using and the . With this plugin, you can turn any compatible edge device, like a router, gateway, or IPC, into a "smart" device that can run advanced Artificial Intelligence (AI) and Machine Learning (ML) models on input data. Using AI and ML models, you can analyze a video stream and gain valuable insights, such as counting the number of cars passing by in the video stream.

The documentation here offers detailed instructions on setting up and configuring your edge AI solutions on Linux-based Nx Meta-supported edge hardware.

The high-level Nx AI Manager plugin Architecture.

The Nx AI Manager plugin is the starting point for creating AI solutions within the Nx Meta framework. It can run within any Linux-based Nx Meta Server on any supported edge device (such as a smart camera, gateway, and PC) and allows you to configure the solution you want to create by selecting an AI model and configuring the device settings.

The Nx AI Manager plugin currently mainly focuses on video input (a stream of images from a camera).

You can use the Nx Cloud Platform to remotely configure your solution and manage it at scale: i.e., if you have hundreds of devices, you can manage them in one go.

The core "magic" that goes into creating edge AI solutions is the AI model; the model effectively transforms the input (images) to the desired output (a count of the number of people in front of the camera, an "OK" / "NG" output for product inspection, the license plate of a car in front of the camera, or whether or not a person in front of the camera is wearing a helmet). We have some of off-the-shelf models in our model library, allowing users to configure new solutions. However, if you are a data scientist, you can create models and upload them to our platform for your custom needs.

Often used terms

Here, we provide a short list of terms that pop up repeatedly in these docs and are good to know:

The Nx AI Manager plugin: Nx plugin that runs on an edge device, enabling you to configure your edge AI solution. Also just called the plugin.
The Nx AI Manager: is the component of the Nx toolkit responsible for running AI models on AI accelerators.
The Network Optix Toolkit: All development tools, libraries, applications, and utilities that enable integration with Network Optix in your own application are available, including the AI Manager plugin and the .
EVOS: Network Optix's Enterprise Video Operating System, which includes all of Network Optix's open tools, enables developers to manage numerous video streams across multiple locations, deploy on-site AI models (at the edge), visualize videos, establish business rules, and deliver meaningful applications to end users.
An AI/ML model: We use this term somewhat loosely for any model definition that describes the transformation of input (streams of images) to output (bounding boxes, license plate, "OK"/"NG," etc.). This model can be a Deep Neural Network (AI), a simple classification model (ML), or a traditional Vision pipeline. Ultimately, the logic running on the device does the "magic".
Nx Cloud: The Nx cloud environment (found at ) allows you to a) manage your devices and AI models and b) add your models to your personal AI model collections.
Edge device: We loosely refer to any device (camera, gateway, IPC, etc.) that runs the NxAI manager.

NextGet started with the NX AI Manager plugin

Last updated 1 month ago

The high-level Nx AI Manager plugin Architecture.

The Nx AI Manager plugin currently mainly focuses on video input (a stream of images from a camera).

You can use the Nx Cloud Platform to remotely configure your solution and manage it at scale: i.e., if you have hundreds of devices, you can manage them in one go.

Often used terms

Here, we provide a short list of terms that pop up repeatedly in these docs and are good to know:

The Nx AI Manager plugin: Nx plugin that runs on an edge device, enabling you to configure your edge AI solution. Also just called the plugin.

The Nx AI Manager: is the component of the Nx toolkit responsible for running AI models on AI accelerators.

The Network Optix Toolkit: All development tools, libraries, applications, and utilities that enable integration with Network Optix in your own application are available, including the AI Manager plugin and the .

EVOS: Network Optix's Enterprise Video Operating System, which includes all of Network Optix's open tools, enables developers to manage numerous video streams across multiple locations, deploy on-site AI models (at the edge), visualize videos, establish business rules, and deliver meaningful applications to end users.

An AI/ML model: We use this term somewhat loosely for any model definition that describes the transformation of input (streams of images) to output (bounding boxes, license plate, "OK"/"NG," etc.). This model can be a Deep Neural Network (AI), a simple classification model (ML), or a traditional Vision pipeline. Ultimately, the logic running on the device does the "magic".

Nx Cloud: The Nx cloud environment (found at ) allows you to a) manage your devices and AI models and b) add your models to your personal AI model collections.

Edge device: We loosely refer to any device (camera, gateway, IPC, etc.) that runs the NxAI manager.