Connect Ubidots and Roboflow to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Variable Updated
Triggers when a Variable received a new value.
Do thisActions
Action is the task that follows automatically within your Ubidots integrations.
Create Dot
Create a dot (data point) in the Ubidots Variable and Device of your choice.
Create Device
Creates a device.
Compute CLIP Similarity
Compute how closely an image matches a text prompt using Roboflow's CLIP model.
Create Classification Prediction
Generate class predictions for an image.
Run Instance Segmentation
Create instance segmentation predictions (masks and labels) for a given image.
Detect Objects in Image
Detect objects in an image and return their labels and bounding boxes.
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Frequently Asked Questions
To start, connect both your Ubidots and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Ubidots triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Ubidots data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between Ubidots and Roboflow 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 Ubidots and Roboflow. 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 Ubidots
Rapidly assemble and launch Internet of Things (IoT) applications without having to write code or hire a software development team.
Learn MoreAbout Roboflow
Roboflow is a leading platform for computer vision and AI model development, offering tools to streamline the process of building, training, and deploying machine learning models.
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