Motion and OpenAI Vision Integration

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Automatically prioritize tasks in Motion based on image analysis from OpenAI Vision. Latenode's visual editor makes the logic fully customizable, using your own AI keys for affordable scaling.

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Motion

OpenAI Vision

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Motion and OpenAI Vision

Create a New Scenario to Connect Motion and OpenAI Vision

In the workspace, click the β€œCreate New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Motion, triggered by another scenario, or executed manually (for testing purposes). In most cases, Motion or OpenAI Vision will be your first step. To do this, click "Choose an app," find Motion or OpenAI Vision, and select the appropriate trigger to start the scenario.

Add the Motion Node

Select the Motion node from the app selection panel on the right.

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Motion

Configure the Motion

Click on the Motion node to configure it. You can modify the Motion URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the OpenAI Vision Node

Next, click the plus (+) icon on the Motion node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

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OpenAI Vision

Authenticate OpenAI Vision

Now, click the OpenAI Vision node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Vision settings. Authentication allows you to use OpenAI Vision through Latenode.

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Connect OpenAI Vision

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Run node once

Configure the Motion and OpenAI Vision Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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OpenAI Vision Oauth 2.0

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The action ID

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Run node once

Set Up the Motion and OpenAI Vision Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Motion, OpenAI Vision, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking β€œRun once” and triggering an event to check if the Motion and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Motion and OpenAI Vision (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Motion and OpenAI Vision

Motion + OpenAI Vision + Slack: When a new task is created or updated in Motion, the details are sent to Slack in a public channel message.

Google Calendar + Motion: When a new event is created in Google Calendar, a corresponding task is created in Motion to manage the associated work.

Motion and OpenAI Vision integration alternatives

About Motion

Use Motion in Latenode to auto-schedule tasks and projects based on real-time data. Trigger Motion updates from other apps, or update other tools when Motion tasks change. Connect it to your CRM or calendar, and automate team workflows. The low-code editor simplifies customization, ensuring tasks are prioritized and deadlines are met across all platforms.

About OpenAI Vision

Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.

See how Latenode works

FAQ Motion and OpenAI Vision

How can I connect my Motion account to OpenAI Vision using Latenode?

To connect your Motion account to OpenAI Vision on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Motion and click on "Connect".
  • Authenticate your Motion and OpenAI Vision accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically categorize new Motion assets using AI?

Yes, you can! Latenode lets you send Motion images to OpenAI Vision for automated categorization, enhancing organization with AI-powered insights and saving time.

What types of tasks can I perform by integrating Motion with OpenAI Vision?

Integrating Motion with OpenAI Vision allows you to perform various tasks, including:

  • Automatically tagging new Motion videos based on detected objects.
  • Generating descriptions for Motion assets using AI-powered content analysis.
  • Creating alerts when specific objects are detected in Motion footage.
  • Analyzing video content for compliance with brand guidelines.
  • Extracting keyframes and generating summaries from video content.

How does Latenode handle large video files from Motion efficiently?

Latenode provides flexible options for processing large files, including cloud storage integration and scalable serverless functions for optimal performance.

Are there any limitations to the Motion and OpenAI Vision integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • OpenAI Vision has rate limits that may affect high-volume processing.
  • The accuracy of object detection depends on the quality of the video.
  • Advanced video analysis requires a paid OpenAI Vision subscription.

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