AI-900: Leveraging Computer Vision for Automated Bottle Identification and Sorting

Explore the application of computer vision in building a recycling machine that accurately identifies and sorts bottles of the correct shape. Discover how computer vision technology enables efficient and precise bottle identification, enhancing the recycling process and promoting sustainability.

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

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.

The correct answer is C. computer vision.

Computer vision is a type of AI workload that deals with processing and understanding images and videos. Computer vision can use advanced algorithms to perform various tasks, such as image analysis, text extraction, spatial analysis, and facial recognition.

The company wants to build a recycling machine for bottles that must automatically identify bottles of the correct shape and reject all other items. This is a computer vision problem, as it involves analyzing the contents and shapes of images and distinguishing between different objects. Computer vision can use techniques such as image segmentation, object detection, or image classification to solve this problem.

The other three options are not types of AI workloads that are suitable for this scenario:

• Anomaly detection is a type of AI workload that deals with identifying unusual or abnormal patterns or behaviors in data, such as fraud, outliers, or errors. Anomaly detection can use techniques such as statistical, machine learning, or deep learning methods to detect anomalies.
• Conversational AI is a type of AI workload that deals with creating natural and engaging interactions between humans and machines using natural language, such as text or speech. Conversational AI can use techniques such as natural language processing, natural language understanding, natural language generation, or speech recognition to create chatbots, voice assistants, or virtual agents.
• Natural language processing is a type of AI workload that deals with processing and understanding natural language, such as text or speech. Natural language processing can use techniques such as text analysis, text generation, speech recognition, or machine translation to extract information or insights from text or speech, or generate text or speech from data.

Reference

Microsoft Learn > Azure > Cognitive Services > Computer Vision > What is Computer Vision?

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.