Microsoft Azure AI Fundamentals (AI-900)Describe features of computer vision workloads on AzureEasy
A logistics company wants to automate the process of sorting packages based on their destination. Each package has a unique barcode label that needs to be read by a camera system. Which Azure AI Computer Vision capability would be most effective for extracting the text information from these barcode labels?
- AImage Captioning
- BImage Tagging
- CObject Detection
- DOptical Character Recognition (OCR)
Show answer & explanationAnswer & explanation
Correct answer: D. Optical Character Recognition (OCR)
Optical Character Recognition (OCR) is specifically designed to extract text from images. This is precisely what is needed to read the text information embedded in barcode labels for package sorting.
Why the other options are wrong
- A. Image Captioning generates a descriptive sentence for an image, not extracts specific text.
- B. Image Tagging assigns keywords to an image, not extracts specific text from a label.
- C. Object Detection identifies and locates objects, but does not extract the actual text content from within those objects.
Optical Character Recognition (OCR)
A computer vision capability that extracts text from images, whether printed or handwritten, and converts it into machine-readable text.
- Enables digitization of documents.
- Used for data entry automation, license plate recognition, and accessibility.
- Can handle various fonts, languages, and orientations.
Memory trick: OCR: Image to Text, a digital bridge.