How to Detect People in Restricted Areas Using Azure Video Indexer
You are developing a solution that uses Azure AI Video Indexer to analyze surveillance videos for suspicious activity. The solution must generate alerts when a person is detected in a restricted area. Which feature should you use?
Quick Answer
People detection and tracking is the feature built for exactly this use case because it doesn't just recognize that a person appears somewhere in a video — it tracks that person's position across frames over time, outputting bounding box coordinates, timestamps, and a persistent tracking ID for each individual detected. That combination is what makes spatial-rule alerting possible: because the feature reports where a person is in the frame at each moment, a solution built on top of it can define a restricted-area boundary and trigger an alert the instant a tracked bounding box crosses into it, rather than just knowing a person was somewhere in the footage at some point. The tracking ID also matters for surveillance scenarios specifically, since it lets the same individual be followed continuously across a sequence of frames rather than being re-detected as a new, unrelated person each time, which is what location-based alerting depends on. Any scenario asking for alerts triggered by a person's presence in a specific zone, rather than general activity summarization, is asking for this spatial, per-frame tracking capability rather than a broader content-analysis feature.
⚠ Common exam trap
Many exam-takers confuse generic object detection (which can detect people as objects) with the dedicated people tracking capability that provides persistent IDs and temporal continuity needed for restricted-area alerts.
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 Video Indexer people detection and tracking
Azure AI Video Indexer's people detection and tracking feature is specifically designed to detect and track individuals across video frames, making it ideal for generating alerts when a person enters a restricted area. This feature provides bounding boxes, timestamps, and tracking IDs that enable real-time monitoring and alerting based on spatial rules.
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 sentiment analysis
Why it's wrong here
Analyzes emotions, not location.
- ✓
Azure AI Video Indexer people detection and tracking
Why this is correct
Tracks people movements and can trigger alerts.
- ✗
Azure AI Face identify API
Why it's wrong here
Identifies faces, not location.
- ✗
Object detection in Azure AI Vision
Why it's wrong here
Detects objects but not their movement or location over time.
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Same concept, more angles
2 more ways this is tested on AI-102
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You need to analyze a video stream from a security camera to count the number of people entering a building. Which Azure AI service is most suitable?
easy- ✓ A.Azure AI Spatial Analysis
- B.Azure AI Custom Vision
- C.Azure AI Computer Vision
- D.Azure AI Video Indexer
Why A: Azure AI Spatial Analysis is the most suitable service because it is purpose-built for real-time spatial analysis of video streams, including counting people entering a building. It can process live camera feeds and detect when people cross a line or enter a zone, providing real-time counts. In contrast, Azure AI Video Indexer is designed for analyzing recorded video files, not live streams, making it less suitable for real-time security camera analysis. Other options like Custom Vision and Computer Vision are for image classification and image analysis, respectively, not optimized for video streams.
Variation 2. You need to analyze a live video stream from a security camera to detect people entering a restricted area. Which Azure AI service should you use?
easy- ✓ A.Azure Video Indexer
- B.Azure AI Custom Vision
- C.Azure Video Analyzer for Media (deprecated)
- D.Azure AI Face API
Why A: Azure Video Indexer supports live video stream analysis for detecting people in restricted areas using pre-built AI models. It can process live streams and generate alerts in real time. Azure Video Analyzer for Media is a deprecated predecessor and is not the optimal choice. Custom Vision requires custom model training, and Face API focuses on facial recognition rather than general person detection.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.