Work with Data and AI

Viam’s data and AI capabilities enable you to capture and sync or upload data, build a dataset, train and deploy ML models, and run inference with computer vision. Then, you can act or alert on inferences. You can also monitor your machines through teleop, power your application logic, or analyze historical data trends.

Platform diagram Platform diagram with data capture elements highlighted Platform diagram with data usage elements highlighted Platform diagram with AI elements highlighted

Capture data

3   TASKS   |   BEGINNER-FRIENDLY

Capture and sync edge data

Capture data from a resource on your machine and sync the data to the cloud.

Filter data

Use filtering to collect and sync only certain images.

Conditional sync

Trigger cloud sync to sync captured data when custom conditions are met.

Work with data

4   TASKS   |   BEGINNER-FRIENDLY

Query data

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

Visualize data

Use teleop or grafana to visualize sensor data from the Viam app.

Alert on data

Use triggers to send email notifications or webhook requests when data from the machine is synced.

Export data

Download data from the Viam app using the data client API or the Viam CLI.

Leverage AI

8   TASKS   |   INTERMEDIATE

Create a dataset

Create a dataset to train a machine learning model.

Train TFlite model

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

Train other models

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

Deploy model

The Machine Learning (ML) model service allows you to deploy machine learning models to your machine.

Run inference

Run inference on a model with a vision service or an SDK.

Alert on inferences

Use triggers to send email notifications when inferences are made.

Act based on inferences

Use the vision service API to act based on inferences.