AWS Rekognition is a cloud-based image and video analysis service that uses deep learning models to automatically identify and label objects, people, text, and activities within images and videos. It can also detect and recognize faces, perform facial analysis to determine emotions and expressions, and compare faces across multiple images. With real-time analysis and the ability to quickly process large volumes of media files, AWS Rekognition is ideal for a wide range of applications, including security and surveillance, content moderation, and media management.
You can find more details and the supported operation on AWS Rekognition | qibb Catalog.
How to get started with AWS Rekognition integration
Before integrating AWS Rekognition into your application, make sure that you have the necessary permissions to perform the required operations.
To get started, you will need your Access key, Secret access key, and Region information for authentication. If you do not already have an Access key and Secret access key, you can create them by following these steps:
Sign in to the AWS Management Console and open the IAM console.
In the navigation pane, choose Users, select the name of the intended user, and then choose the Security credentials tab.
Click the Create access key button, select Application running outside AWS, and then click Next.
(Optional) Set a description tag, and then click Create access key to continue. Copy your Access key and Secret access key and save them for later use.
Once you have your Access key and Secret access key, you can integrate AWS Rekognition into your application by following these steps:
Go to the qibb Workflow Editor and open the Node Catalog in the right sidebar.
Install the AWS Rekognition node by clicking the + button.
Drag and drop the AWS Rekognition node from the left sidebar into your workflow.
Enter your Region, Access key, and Secret access key credentials into the Advanced/Security fields.
Besides, an X-Amz-Target should be entered as a parameter. After you select an operation, X-Amz-Target will be visible on the node.
Select the desired operation from the AWS Rekognition node.
Start using the integration!
If you are not familiar with AWS or the qibb Workflow Editor, additional resources or technical expertise may be necessary to ensure proper integration setup.
Importing flow examples of a node
Once you've successfully installed a node from the qibb catalog, you can easily import example flows that showcase how the nodes can be used. These example flows are directly accessible within the Flow Editor and are designed to guide users with helpful hints, including how to configure mandatory parameters and credentials.
Here's how to import examples:
In the top right corner of the Flow Editor, click on the menu icon.
Select Import to open the Import Dialog.
Click on the Examples tab.
Choose an example from the list.
Confirm your selection by clicking on the Import button.
By following these steps, you are now ready to make basic API calls using the provided examples. For further exploration of what’s possible, you can find more complex examples in the Flow Catalog.