Learn how Amazon Rekognition can be used to automatically analyze videos and identify employees accessing company offices. Find out why this AWS service is the best choice for this use case compared to Amazon Polly, Amazon Cognito, and AWS Lambda.
Table of Contents
Question
A company wants to use automated video analysis to identify employees that are accessing its offices.
Which AWS service will meet this requirement?
A. Amazon Rekognition
B. Amazon Polly
C. Amazon Cognito
D. AWS Lambda
Answer
A. Amazon Rekognition
Explanation
A. Amazon Rekognition is the correct answer. Amazon Rekognition is an AWS service that provides pre-trained and customizable computer vision (CV) capabilities to analyze images and videos. It includes facial analysis and facial recognition features that allow you to detect, analyze, and compare faces for a wide variety of use cases, such as user verification, people counting, and public safety.
In this scenario, Amazon Rekognition could be used to analyze video feeds from security cameras monitoring the entrances and exits of the company’s offices. It would be able to detect and recognize employees’ faces to determine who is accessing the office spaces. This could be done in real-time or by analyzing recorded video footage.
The other options are not suitable for this use case:
B. Amazon Polly is a text-to-speech service that turns text into lifelike speech, allowing you to create applications that talk. It is not used for video analysis or facial recognition.
C. Amazon Cognito is an authentication, authorization, and user management service for web and mobile apps. It is not used for video analysis or facial recognition.
D. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. While Lambda functions can be used to process data and integrate with other AWS services, Lambda itself does not provide video analysis or facial recognition capabilities.
So in summary, Amazon Rekognition is the clear choice to meet the company’s requirement of using automated video analysis to identify which employees are accessing its offices. Its powerful yet easy-to-use facial recognition features are well-suited for this use case.
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