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AI-900: Efficient Bottle Recycling Leveraging Computer Vision Workload

Discover how Computer Vision empowers a recycling machine to accurately identify bottle shapes, ensuring efficient recycling processes while rejecting non-conforming items.

Table of Contents

Question

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.

Which type of AI workload should the company use?

A. anomaly detection
B. conversational AI
C. computer vision
D. natural language processing

Answer

C. computer vision

Explanation

The company should utilize Computer Vision for this task. It enables machines to visually perceive and identify objects, allowing the recycling machine to recognize bottles based on their shape and reject other items accurately.

Azure’s Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you’re interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump