Index

Table of contents

CircularNet overview

• Get started with CircularNet

Discover CircularNet

• Benefits of CircularNet
• When to use CircularNet
• How CircularNet works

Choose a deployment solution

• Where to host the models
  • Cloud deployment
  • Edge device deployment
  • In-house server deployment

Set up the system requirements

• Choose a camera
  • Recommendations for selecting a machine vision camera
  • Factors based on vision system placement
    • Sensor size
    • Focal length
    • Aperture size (f-number)
    • Shutter speed
  • Table of specifications
• Choose edge device hardware

Deploy CircularNet

• Before you begin
• Clone the repository and install packages
• Start the server

Prepare and analyze images

• Learn about the prediction pipeline
• Apply the prediction pipeline in Google Cloud
• Apply the prediction pipeline in an edge device

View data analysis and reporting

• Before you begin
• Configure the dashboard

Retrain CircularNet models

• Before you begin
• Prepare the training data
• Launch the training job

CircularNet overview

CircularNet is a free computer vision model developed by Google that utilizes artificial intelligence (AI) and machine learning (ML) to provide detailed and accurate identification of waste streams and recyclables. Trained on a diverse global dataset, CircularNet aims to make waste management analytics accessible and promote data-driven decision-making. It supports efforts to keep valuable resources out of landfills and in circulation. Open access and collaboration are fundamental to CircularNet's vision. Its open-source models, powered by TensorFlow and available on GitHub, are free to use, customizable, and can help bring analytics to new markets while minimizing cost.

This guide offers step-by-step instructions for setting up and integrating CircularNet, accommodating various deployment options. It describes different deployment preferences so you can install CircularNet according to your needs.

Get started with CircularNet

Start exploring CircularNet by reviewing the following documentation:

1. Discover the benefits, features, components, and use cases of CircularNet.
2. Choose between the different deployment options to install CircularNet models.
3. Learn about the recommendations for installing the camera you require to capture images.
4. Follow a step-by-step solution example to deploy CircularNet and prepare your captured images for analysis and object tracking.
5. Learn how to connect your data with a dashboard for visualization and reporting.