Microsoft Azure AI Fundamentals (AI-900)Describe features of computer vision workloads on AzureEasy
A construction company wants to monitor worker safety on job sites. They need a computer vision system that can identify if workers are wearing hard hats and safety vests in real-time video feeds. Which common computer vision workload capability should they use?
- AOptical Character Recognition (OCR)
- BFace Recognition
- CImage Classification
- DObject Detection
Show answer & explanationAnswer & explanation
Correct answer: D. Object Detection
Object Detection is the appropriate capability because it can identify and locate multiple objects (hard hats, safety vests, workers) within an image or video frame, which is essential for monitoring safety equipment in real-time.
Why the other options are wrong
- A. Optical Character Recognition (OCR) extracts text from images, which is not relevant for identifying safety equipment.
- B. Face Recognition identifies individuals, which is not the primary goal here; the goal is detecting safety gear.
- C. Image Classification would only tell if an image *contains* a hard hat, not where it is or if it's worn by a worker.
Object Detection
A computer vision task that identifies and locates objects within an image or video by drawing bounding boxes around them and assigning a class label.
- Outputs class labels and bounding box coordinates for each detected object.
- Can detect multiple objects in a single image.
- Commonly used for surveillance, autonomous vehicles, and quality control.
Memory trick: Object Detection finds what's there and points to it.