Connect Adafruit IO and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
New Feed Data
New Feed
New Group
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Ready to use Adafruit IO and Nyckel automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Feed Data
Check if a new data is created in a feed.
New Feed
Check if a new feed is created.
New Group
Check if a new group is created.
Do thisActions
Action is the task that follows automatically within your Adafruit IO integrations.
Create a Group
Creates a new group.
Import to Classifier
Import data to your Nyckel classifier
Classify
Classify image or text data
Center Detect
Detect Objects center in images
Train Classifier
Train your Nyckel classifier by adding more data
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Frequently Asked Questions
To start, connect both your Adafruit IO and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Adafruit IO triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Adafruit IO data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Adafruit IO and Nyckel typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Adafruit IO and Nyckel. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Adafruit IO
Adafruit IO is a platform for logging, streaming, and interacting with data.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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