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MLA-C01 · Question #164

A logistics company has installed in-vehicle cameras for basic monitoring of its drivers. The company wants to improve driver safety by identifying distractions that could lead to accidents. Which…

The correct answer is A. Use Amazon Rekognition eye gaze direction detection to monitor driver behavior and identify. Amazon Rekognition provides built-in computer vision capabilities for analyzing facial attributes and eye gaze direction from video streams, enabling distraction detection without the need to build, train, or manage a custom ML model, which results in the least operational…

Deployment and Orchestration of ML Workflows

Question

A logistics company has installed in-vehicle cameras for basic monitoring of its drivers. The company wants to improve driver safety by identifying distractions that could lead to accidents. Which solution will meet this requirement with the LEAST operational effort?

Options

  • AUse Amazon Rekognition eye gaze direction detection to monitor driver behavior and identify
  • BUse Amazon SageMaker AI to customize an AI model to monitor driver behavior and identify
  • CIntegrate a third-party driver monitoring system with Amazon Rekognition to monitor driver
  • DUse Amazon Comprehend to analyze text-based driver feedback and identify distractions.

How the community answered

(38 responses)
  • A
    71% (27)
  • B
    3% (1)
  • C
    16% (6)
  • D
    11% (4)

Explanation

Amazon Rekognition provides built-in computer vision capabilities for analyzing facial attributes and eye gaze direction from video streams, enabling distraction detection without the need to build, train, or manage a custom ML model, which results in the least operational effort.

Topics

#Amazon Rekognition#Computer Vision#Managed AI Services#Operational Effort

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