AI-102 Implement computer vision solutions Practice Question
You need to build a solution that detects whether a person is wearing a hard hat in a construction site image. Which Azure AI service should you use?
⚠ Common exam trap
Many candidates confuse Azure AI Custom Vision with pre-built vision services like Azure AI Face or Video Indexer, assuming they can be repurposed for custom object detection, but only Custom Vision allows training on your own labeled images for specific items like hard hats.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure AI Custom Vision
Azure AI Custom Vision is the correct service because it allows you to train a custom object detection model to identify specific objects—such as a hard hat—in images. Unlike pre-built services, Custom Vision lets you upload labeled images of workers with and without hard hats, train a model, and then use it to detect hard hat presence in construction site photos. This tailored approach is necessary because hard hat detection is a specialized use case not covered by generic vision APIs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Video Indexer
Why it's wrong here
Azure AI Video Indexer extracts insights from video and audio streams, such as speakers, topics, and scenes; it does not perform PPE classification on still images. Hard-hat detection needs a custom vision model. Video Indexer would be correct for indexing, transcribing, or searching video content.
- ✗
Azure AI Face
Why it's wrong here
Azure AI Face detects and identifies human faces; it does not classify headwear or construction PPE. Hard-hat detection requires a custom object-detection model, typically trained through Azure AI Custom Vision. Face would be correct for facial recognition, verification, or detecting attributes like glasses.
- ✓
Azure AI Custom Vision
Why this is correct
Custom Vision trains an image classification or object detection model on your own labelled hard-hat images, satisfying the stem's specific detection requirement. Prebuilt Computer Vision models lack a hard-hat class, so custom training is required.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence extracts text, tables and key-value pairs from forms and documents; it performs no object detection, so it cannot locate a hard hat within an image. It is tempting because it is a vision-branded Azure AI service, and it would be correct for parsing scanned invoices or identity documents.
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