Get started¶

Robovision AI covers the complete life cycle of an AI-based computer vision project—from importing data to monitoring your models in production. Not sure where to begin? Find the documentation most relevant to your purpose below.

Commissioning¶

If your work involves deploying and running systems, setting up cameras, configuring topologies, or monitoring the machine life cycle, these resources are a good starting point.

Getting started:

• Configure your browser – Make sure your browser is set up correctly.
• Complete onboarding – Get familiar with the platform basics.

Common tasks:

• Create projects – Set up new AI projects.
• Camera setup – Set up and configure cameras for data recording.
• Monitor inference – Track inference performance.

System configuration:

• Platform connections – Connect hubs and agents (topology).
• System members – Manage user access and roles.

AI lifecycle¶

If you're involved in data collection, labeling, training models, testing, or deploying inference, here's where to start.

Getting started:

• Configure your browser – Make sure your browser is set up correctly.
• Complete onboarding – Get familiar with the platform basics.
• Project types – Explore available algorithms.

Common tasks:

• Create projects – Set up new AI projects.
• Record data – Capture data from connected cameras.
• Import data – Bring data into the platform.
• Labeling – Learn how to label data using classification, object detection, or segmentation tools.
• Create datasets – Organize data for training and testing.
• Train models – Train AI models.
• Test models – Evaluate model performance.
• Set up API inference – Deploy models for API-based inference.
• Camera inference – Run inference on camera streams.

Support¶

If you're providing customer support or need to troubleshoot issues, these resources can help.

Getting started:

• Configure your browser – Make sure your browser is set up correctly.
• Complete onboarding – Get familiar with the platform basics.
• Glossary – Key terms and concepts.

System monitoring:

• Platform connections – Understand hub and agent topology.
• Monitor inference – Track inference performance.
• Download inference logs – Access inference logs for troubleshooting.

Educational resources:

• Tutorials – End-to-end walkthroughs demonstrating platform capabilities.
• Picking and grading solution – See how to build a picking and grading application.
• AI-ADC solution – Learn about automated defect classification.

Stay updated:

• Release notes – See what's new in each release.