Step 5: Customizing AI/ML settings - Media2Cloud on AWS

Step 5: Customizing AI/ML settings

In this version of Media2Cloud on AWS, users have a lot of flexibility on the AI/ML services that are used. They also have the ability to configure those services for their use cases.

  1. In the web interface select Settings from the top navigation bar.

  2. In the Amazon Rekognition Settings section:

    • You can set the minimum confidence level that you want results from.

    • Toggle on or off specific detection types.

    • Select the face collection that you want to use when analyzing assets.

    • When using Amazon Rekognition to detect text on screen, you can select the specific regions of the screen for analysis.

    • If you have created a custom AI/ML model using Amazon Rekognition Custom Labels, you can use that model when analyzing assets.

    • The Frame Based Analysis section give the flexibility to switch from the Amazon Rekognition Video API to the Amazon Rekognition Image API. When you toggle the Frame Based Analysis button on, you can determine the frequency that frames are analyzed.

  3. In the Amazon Transcribe settings section:

    • Select the language that you want Amazon Transcribe to create a transcript of the video in. For a complete list of supported languages, refer to Amazon Transcribe Supported Languages.

    • If you have created a Custom Vocabulary to improve the accuracy of Amazon Transcribe, you can select that model for the analysis of your assets.

    • If you have created a Custom Language Model you can activate that model for the analysis of your assets.

  4. In the Amazon Comprehend settings section:

    • Activate Entity Detection, Sentiment Analysis, and Key phrase Detection.

    • If you have built a Custom Entity Recognizer to identify custom entities for your business needs, you can activate that as well.

  5. In the Amazon Textract settings section, you can activate the service to extract text from documents that you are analyzing.