Connect Routee 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.
New contact added
Start a workflow for each contact added to your Routee account.
Do thisActions
Action is the task that follows automatically within your Routee integrations.
List all Contacts
Retrieve all the contacts of the account.
Create contact
Create a new contact with name, mobile number, country code, and optional VIP flag.
Send an SMS
Send a text message to the specified phone number.
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.
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Frequently Asked Questions
To start, connect both your Routee and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Routee triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Routee 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 Routee 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 Routee 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 Routee
Routee is a platform that provides users with SMS sending functionality, enhancing communication between businesses and individuals.
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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