Discover the ideal computer vision technology for expense tracking mobile apps. Learn how optical character recognition (OCR) simplifies expense scanning, improving efficiency for employees on the go.
Table of Contents
Question
You need to develop a mobile app for employees to scan and store their expenses while travelling.
Which type of computer vision should you use?
A. semantic segmentation
B. image classification
C. object detection
D. optical character recognition (OCR)
Answer
D. optical character recognition (OCR)
Explanation
For expense scanning in a mobile app, the appropriate computer vision type is D: optical character recognition (OCR). OCR identifies and extracts text from images, allowing the app to recognize and store expense details from receipts or documents.
Azure’s Computer Vision API includes Optical Character Recognition (OCR) capabilities that extract printed or handwritten text from images. You can extract text from images, such as photos of license plates or containers with serial numbers, as well as from documents – invoices, bills, financial reports, articles, and more.
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.
