AI Workload for Bottle Recycling

C

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 for the given scenario is C. computer vision.

Explanation: The given scenario describes a problem where the recycling machine needs to identify bottles of the correct shape and reject all other items. This is a task that requires the machine to visually analyze objects in its surroundings and make a decision based on its appearance. In other words, the machine needs to use its ability to perceive and interpret visual data, which is the core function of computer vision.

Computer vision is a subfield of artificial intelligence that enables machines to analyze and interpret visual data from the world around them. It involves the use of algorithms and deep learning models to analyze images and videos, and identify patterns and objects within them. In the given scenario, the recycling machine needs to use computer vision to analyze the shape of each object that passes through it and determine whether it is a bottle or not. Once the machine identifies the bottles, it can then proceed with the recycling process, while rejecting all other objects.

Anomaly detection (option A) is a type of AI workload that involves detecting and identifying abnormal or unexpected events in a system or dataset. This workload is not suitable for the given scenario since the recycling machine is looking for a specific type of object (bottles), rather than identifying abnormal events.

Conversational AI (option B) refers to the use of natural language processing and machine learning techniques to enable computers to communicate with humans in a conversational manner. This workload is not relevant to the given scenario since the recycling machine does not need to communicate with humans in any way.

Natural language processing (option D) is a type of AI workload that involves the use of machine learning and language modeling techniques to analyze, understand, and generate human language. This workload is also not relevant to the given scenario since the recycling machine does not need to analyze or generate human language.

In conclusion, the appropriate type of AI workload for the given scenario is computer vision, which enables the recycling machine to identify bottles of the correct shape and reject all other items.