Start and stop capture on demand
Start and stop capture on several components at once while the machine runs, and record sequences, with the capture-control module.
Start and stop capture on several components at once while the machine runs, and record sequences, with the capture-control module.
Control when captured data syncs to the cloud using a sensor that decides whether to sync.
Mark a time window of a machine’s captured images and readings as one sequence, then collect sequences into a dataset to train on.
Fleet and data management permissions.
Find or write a training script, test it locally, upload it to the registry, and run it on a dataset to train an ML model.
Use the data client API to upload and retrieve data directly.
Register a Docker Hub image with Viam so custom training jobs run in an environment with your dependencies already installed.
Give commands to your ML model service to make inferences based on a provided ML model.
Download data from Viam from the DATA page, with the CLI, or with the data client API.
Detailed information about how to configure triggers, webhooks, and push notifications.
Create an alarm system that can detect people and recognize faces, allowing it to intelligently trigger alarms.