Learn how to use optical character recognition (OCR) to extract text from images in Azure AI, and why it is the best Al workload for this scenario.
Table of Contents
Question
The company you work for manages a dockyard where hundreds of containers of merchandise are processed every day. You need to implement an Al solution that can extract ships and containers registration numbers from images. Which Al workload should you use?
A. Optical character recognition (OCR)
B. Object detection
C. Facial recognition
D. Image classification
Answer
A. Optical character recognition (OCR)
Explanation
OCR has represents the ability to extract text from images is handled by the Computer Vision service, which also provides image analysis capabilities.
The correct answer is A. Optical character recognition (OCR). OCR is a type of Al workload that can analyze images and extract text from them. OCR can be used to recognize various types of text, such as handwritten, printed, or digital text. OCR can also handle different languages, fonts, and formats of text. OCR is useful for applications that need to process large amounts of documents, such as invoices, receipts, forms, or contracts.
In this scenario, OCR can be used to extract the ships and containers registration numbers from images of the dockyard. These numbers are usually printed or painted on the sides of the ships and containers, and they can be used to identify and track the merchandise. OCR can help automate the process of reading and recording these numbers, which can save time and reduce errors.
Object detection, facial recognition, and image classification are other types of Al workloads that can analyze images, but they are not suitable for this scenario. Object detection can locate and label objects in an image, such as cars, animals, or people. Facial recognition can identify and verify faces in an image, such as for security or authentication purposes. Image classification can assign a label to an image based on its content, such as cat, dog, or flower. However, none of these workloads can extract text from images, which is what the scenario requires.
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