AI-900 exam dumps

AI-900 practice question 143 of 286

Microsoft Azure AI Fundamentals. Free level, Microsoft. Free question with the correct answer and a full explanation.

AI-900 Question 143

Single answer

A retail company wants to use Azure's computer vision capabilities to analyze customer foot traffic in their stores. They need to count the number of people entering the store in real-time and identify individuals who appear multiple times within a single day. Which Azure service or feature should they use to achieve this?

  1. A

    Azure Cognitive Services: Computer Vision API

  2. B

    Azure Cognitive Services: Face API

  3. C

    Azure Video Analyzer

  4. D

    Azure Form Recognizer

Show answer and explanation

Correct answer: C

Explanation

Azure Video Analyzer is the appropriate service for analyzing real-time video feeds, such as counting people entering a store and tracking recurring individuals. It is specifically designed for video analytics scenarios, whereas other services like the Computer Vision API, Face API, and Form Recognizer focus on different workloads like image analysis, facial recognition, and document processing.

  • A. Incorrect.

    The Computer Vision API is primarily designed for image analysis, such as detecting objects, extracting text, and providing image descriptions. While it can detect objects in images, it is not optimized for real-time video analysis or tracking individuals over time.

  • B. Incorrect.

    The Face API provides capabilities for facial recognition and analysis, including identifying individuals and detecting emotions. However, it is not designed to handle real-time video feeds for foot traffic analysis.

  • C. Correct.

    Azure Video Analyzer is the correct option because it provides real-time video analytics capabilities. It can process video feeds to count people, track their movements, and identify recurring individuals, which aligns with the requirements of the scenario.

  • D. Incorrect.

    Form Recognizer is used for extracting data from documents, such as invoices and receipts. It is unrelated to computer vision tasks involving video or people counting.

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