Learn how to automate quality control for customized plaques using Amazon Rekognition for defect detection and Amazon A2I with a private workforce for low-confidence manual reviews.
Table of Contents
Question
An engraving company wants to automate its quality control process for plaques. The company performs the process before mailing each customized plaque to a customer. The company has created an Amazon S3 bucket that contains images of defects that should cause a plaque to be rejected. Low-confidence predictions must be sent to an internal team of reviewers who are using Amazon Augmented AI (Amazon A2I).
Which solution will meet these requirements?
A. Use Amazon Textract for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.
B. Use Amazon Rekognition for automatic processing. Use Amazon A2I with a private workforce option for manual review.
C. Use Amazon Transcribe for automatic processing. Use Amazon A2I with a private workforce option for manual review.
D. Use AWS Panorama for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.
Answer
B. Use Amazon Rekognition for automatic processing. Use Amazon A2I with a private workforce option for manual review.
Explanation
B. Use Amazon Rekognition for automatic image processing to detect defects. Low-confidence predictions are sent to Amazon A2I with a private workforce for manual review by the internal team.
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