AI-900 Question 19
Single answerA company wants to build a solution that automatically identifies damaged products on a conveyor belt using images captured by cameras. Which of the following Azure AI workloads is the most suitable for this scenario?
- A
Image Classification
- B
Object Detection
- C
Optical Character Recognition (OCR)
- D
Natural Language Processing (NLP)
Show answer and explanation
Correct answer: B
Explanation
Object Detection is the best choice for this scenario as it allows the identification and localization of specific objects within images, such as damaged products on a conveyor belt. This makes it ideal for automating quality control processes in manufacturing environments.
- A. Incorrect.
Image Classification can be used to categorize entire images into predefined labels, but it does not provide specific locations of objects within the image. This makes it less suitable for identifying damaged products on a conveyor belt.
- B. Correct.
Object Detection is the most suitable workload as it can identify and locate multiple objects (e.g., damaged products) within an image by drawing bounding boxes around them.
- C. Incorrect.
Optical Character Recognition (OCR) is used for extracting text from images, such as reading serial numbers or invoices. It is not relevant to detecting damaged products.
- D. Incorrect.
Natural Language Processing (NLP) focuses on analyzing and understanding human language in text or speech form. It is not applicable to computer vision tasks.