Topic 1 Question 243
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?
Use Amazon Textract for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.
Use Amazon Rekognition for automatic processing. Use Amazon A2I with a private workforce option for manual review.
Use Amazon Transcribe for automatic processing. Use Amazon A2I with a private workforce option for manual review.
Use AWS Panorama for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.
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Option B: Use Amazon Rekognition for automatic processing. Use Amazon A2I with a private workforce option for manual review.
Amazon Rekognition is a powerful computer vision service that can be used for automatic image analysis and defect detection. It has built-in capabilities for image recognition, object detection, and other visual analysis tasks. It can be trained to identify specific defects in the plaques based on the provided images of defects.
👍 2RRST2023/06/14- 正解だと思う選択肢: B
Duplicate of Q 239
👍 2teka1122332023/09/16 - 正解だと思う選択肢: B
Key words are Image processing and internal reviewers
👍 1SandeepGun2023/06/17
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