Microsoft Azure AI Fundamentals (AI-900)Describe features of computer vision workloads on AzureEasy
A manufacturing plant wants to implement a quality control system that automatically inspects finished products for specific types of defects, such as minor scratches or misaligned labels. These defects are subtle and highly specific to their product line. Which Azure AI service would be the most suitable for training a model to identify these custom defects?
- AAzure Custom Vision
- BAzure Form Recognizer
- CAzure Computer Vision - Image Analysis
- DAzure Face API
Show answer & explanationAnswer & explanation
Correct answer: A. Azure Custom Vision
Azure Custom Vision is specifically designed for training custom image classification or object detection models to recognize domain-specific visual characteristics, such as subtle product defects, that are not covered by general-purpose models.
Why the other options are wrong
- B. Azure Form Recognizer is for extracting structured data from documents, not for visual defect detection on products.
- C. Image Analysis provides general descriptive tags or OCR, but cannot be trained to recognize highly specific, custom defects.
- D. Azure Face API is solely for detecting and analyzing human faces, which is irrelevant to product defect inspection.
Azure Custom Vision for Quality Control
Leveraging Azure Custom Vision to train AI models that can automatically identify specific defects or anomalies on products by learning from labeled images.
- Enables recognition of highly specific visual features.
- Reduces manual inspection time and improves consistency.
- Requires a dataset of images showing both good and defective products.
Memory trick: Custom Vision spots the custom flaws.