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Classic Integrations Activities
Last updated Nov 8, 2024

Quickstart - Identify Face

Overview

The purpose of this guide is to help you create a working sample of the Identify Face activity. This working sample enables you to quickly verify the connection to your AWS account and get familiar with the activity's input/output datatypes.

By completing the steps in this guide, you'll have an automation sequence that does the following:

  1. Establishes a connection to your AWS account and Amazon Rekognition services via the Amazon Scope activity.
  2. Creates a new collection to store information about the faces detected in an image via the Create Collection activity.
  3. Detects faces in an image and adds them to your specified collection via the Add Face activity.
  4. Detects the largest face in your input image and searches the specified collection (Collection) for matching faces; returning an array of identified faces via the Identify Face activity.

    5.Tests the Amazon Rekognition activities' input/output properties via the For Each and Write Line activities.



Prerequisites

Before you begin, complete the applicable prerequisites below.

If you've completed the prerequisites for a different Amazon Rekognition Quickstart guide, you're all set and can go straight to the Steps section below.

  1. Complete the Amazon Rekognition Setup steps.
  2. Create a new automation project.
    1. Open UiPath Studio.
    2. Under New Project, click Process (this opens a New Blank Process window).
    3. Enter a project Name, Location, and Description.
    4. Click Create.


  3. Install the UiPath.Amazon.Scope.Activities and UiPath.Amazon.Rekognition.Activities packages.
    1. In the Design ribbon, click Manage Packages (this opens the Manage Packages window).
    2. Under All Packages, click Go!
    3. In the Search bar, enter Amazon.
    4. Click, install and accept the license for both the UiPath.Amazon.Scope.Activities and UiPath.Amazon.Rekognition.Activities.
      • For more information about Uipath Studio packages, see Managing Packages in the Studio Guide.


Steps

Build Your Project

To use the Identify Face activity:

  1. Add the Amazon Scope activity to your project.
  2. If you don't have an existing collection that contains the faces that you want to identify, add the Create Collection activity after the Amazon Scope activity, otherwise, proceed to step 3.
  3. If you don't have the faces that you want to identify stored in your specified collection, add the Add Face activity after the Amazon Scope or Create Collection (whichever is applicable) otherwise, proceed to step 4.
  4. Add the Identify Face activity after the Add Face activity (if applicable).
  5. Enter the CollectionName that you want to use to store your faces.
    • Recommendation: use the same String variable for both the Create Collection and Add Faces activities to ensure consistency.
  6. Enter the ImagePath or ImageURL of the image that contains the faces you want to add to your collection.
    • Recommendation: create a String variable for your image location so that you can reuse it in other activities (e.g., Compare Faces).
      • Because the goal of this project is to identify the same face in different pictures, this variable should not be the same as the Add Face activity String variable (if applicable).
      • In the example image below, you'll see there are two variables. The imageOne variable is used in the Add Face activity and the imageTwo variable is used in the Identify Face activity.
  7. Create and enter a Face[] variable for your Faces value.
    • When creating your variable, select the UiPath.Amazon.Rekognition.Models.Face[] variable type.
    • This variable should be different from the Add Face activity Face[] variable (if applicable).
      • In the example image below, you'll see there are two variables. The faceOne variable is used in the Add Face activity and the faceTwo variable is used in the Identify Face activity.


Test Your Project
  1. To test the Identify Face activity, add a For Each with a Write Line activity, after the Add Face activity (if applicable) and the Identify Face activity.
  2. In the For Each activity after the Add Face activity:
    1. In the TypeArgument property, select UiPath.Amazon.Rekognition.Models.Face.
    2. In the Values property, enter the Face[] variable you created for the Add Face activity (e.g., facesOne).
    3. In the Text property, enter item.ImageId.
      • This returns the ImageID value that you assigned via the Add Face activity.
  3. In the For Each activity after the Identify Face activity:
    1. In the TypeArgument property, select UiPath.Amazon.Rekognition.Models.Face.
    2. In the Values property, enter the Face[] variable you created for the Identify Face activity in step 3 above (e.g., facesTwo).
    3. In the Text property enter item.ImageID+ " : " +item.FaceID.
      • This returns the ImageID value that you assigned via the Add Face activity, as well as, the FaceID that Amazon Rekognition assigned.
      • If you did not previously use the Add Face activity and added a face via the AWS CLI or AWS SDK API or AWS Console, the ImageID value is the same as the ExternalImageID datatype in the Amazon Rekognition activities.
  4. Click Run and verify the Output window includes two output messages:
    1. The ImageID assigned to each face from the Add Face activity.
      • In the example image below, this value is returned three times because there are three faces in the provided input image)
    2. The ImageID and the FaceID of the face identified in the picture.
      • In the example image below, only one ImageID and FaceID value is returned (not three); this is because the Identify Face activity can only identify the largest face in the image.


You're done!

When you're ready, try the other Quickstart guides to get more familiar with the different Amazon Rekognition activities.

To learn more about the other Amazon Rekognition activities, see the Activities page for a complete activity list and links to the activity detail pages.

  • Overview
  • Prerequisites
  • Steps

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