How-to Guides

Use a Viam SDK to program a rover to move in a square.

Use Viam to control a motor's speed and direction in just a few steps.

Detect people and their location in an image with any webcam and a vision service.

Use Viam to gather images or sensor data from your machine.

Connect to a robotic arm and control it with the arm API.

Create a machine in a few steps using Viam's modular system of components and services without writing much or any code.

Viam has a built-in tool called fragments for using the same configuration on multiple machines.

Install and configure viam-agent for provisioning one or many machines.

If you have received a machine that uses Viam and have been pointed to this guide, this guide will show you how to set it up.

Gather sensor data, sync it to the cloud, and view it in the Viam app.

Visualize sensor data from the Viam app using popular tools like Grafana.

Query sensor data that you have synced to the Viam app using the Viam app with SQL or MQL.

Create and configure a teleop workspace with widgets.

Use Viam to gather images or sensor data from your machine.

Use your image data to train a model, so your machines can make inferences about their environments.

If you want to train models to custom specifications, write a custom training script and upload it to the Viam Registry.

Use Viam's fleet management capabilities to share and manage access to your machines.

You can use a fragment to deploy software packages to many machines, as well as to keep those software packages versioned.

Get started writing your own modular resources by creating a Hello World module.

Add a new model of sensor component by writing a module in Python.

Add support for a new component or service model by writing a module.

Make your module available to others by uploading it to the modular resource registry.

Update or delete your existing modules, or change their privacy settings.