Connect ASPSMS and Roboflow to Build Intelligent Automations
Enable Integrations or automations with these events of ASPSMS and Roboflow
Enable Integrations or automations with these events of ASPSMS and Roboflow
Actions
Send SMS
Send a text message to one or more recipients.
Create Voucher
Generate one or more voucher codes to transfer SMS credits to another user or save for later.
Redeem Voucher
Redeem an ASPSMS voucher code to add SMS credits to your account.
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 ASPSMS and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in ASPSMS triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how ASPSMS 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 ASPSMS 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 ASPSMS 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 ASPSMS
ASPSMS is a powerful SMS gateway service that enables businesses to send and receive SMS messages globally. It offers a reliable platform for communication, marketing, and notifications, making it ideal for enhancing customer engagement.
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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