AWS code-library documentation change
Summary
Added code example for video analysis using Rekognition, S3, SES, SNS, and SQS
Security assessment
Change adds a use case example for video analysis workflow but does not mention security vulnerabilities or explicitly document security features
Diff
diff --git a/code-library/latest/ug/java_2_ses_code_examples.md index 1ce8f3c81..797ee5873 100644 --- a/code-library/latest/ug/java_2_ses_code_examples.md +++ b/code-library/latest/ug/java_2_ses_code_examples.md @@ -641,0 +642,24 @@ For complete source code and instructions on how to set up and run, see the full +The following code example shows how to detect people and objects in a video with Amazon Rekognition. + +**SDK for Java 2.x** + + +Shows how to use Amazon Rekognition Java API to create an app to detect faces and objects in videos located in an Amazon Simple Storage Service (Amazon S3) bucket. The app sends the admin an email notification with the results using Amazon Simple Email Service (Amazon SES). + +For complete source code and instructions on how to set up and run, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/video_analyzer_application). + +###### Services used in this example + + * Amazon Rekognition + + * Amazon S3 + + * Amazon SES + + * Amazon SNS + + * Amazon SQS + + + +