Introduction


Welcome to the alwaysAI documentation. Here you'll find everything you need to get up and running with alwaysAI.

How It Works

You can use the alwaysAI platform to develop a computer vision application on your local computer, and then deploy the application locally or on an edge device with the alwaysAI CLI.

For edge devices, the CLI deploys your application files from your development computer onto the edge device using SSH.

Computer Vision Model Catalog

The alwaysAI Model Catalog contains pre-trained machine learning models that are ready to incorporate into your application. These models enable object detection, object classification, and other foundational computer vision tasks.

The alwaysAI platform supports models created with Caffe, TensorFlow, and Darknet. You can choose from models in the catalog or upload your own models to use with alwaysAI.

Command Line Interface

The alwaysAI CLI enables efficient interaction with the alwaysAI platform, and streamlines common functions. It is a reliable way to configure and deploy an application.

edgeIQ Python Library

The edgeIQ library of APIs serves as an intermediate layer between machine learning models and computer vision applications, and provides everything needed to build a basic computer vision application.