Microsoft Certified: Azure AI Engineer AssociateImplement image and video processing solutionsMedium
A smart city initiative is implementing an Azure AI solution to monitor pedestrian flow in public parks. The solution needs to count the number of people entering and exiting specific zones within the park in real-time. Which Azure AI service feature is most suitable for this requirement?
- AAzure Computer Vision's Spatial Analysis
- BAzure Custom Vision's Object Detection
- CAzure Video Indexer's Person Detection
- DAzure Form Recognizer's Layout Analysis
Show answer & explanationAnswer & explanation
Correct answer: A. Azure Computer Vision's Spatial Analysis
Azure Computer Vision's Spatial Analysis is specifically designed for analyzing real-time video streams to detect and track people, count entries/exits from zones, and understand spatial relationships, making it ideal for monitoring pedestrian flow.
Why the other options are wrong
- B. Custom Vision builds custom object detectors but lacks the built-in spatial analysis capabilities for zone counting and real-time tracking.
- C. Video Indexer focuses on extracting comprehensive insights from uploaded video files, not real-time spatial analysis for zone counting.
- D. Form Recognizer is for extracting data from documents and forms, which is unrelated to video analysis or pedestrian monitoring.
Computer Vision Spatial Analysis
A feature of Azure Computer Vision that analyzes real-time video streams to detect, track, and count people in defined zones and understand their movements.
- Analyzes live video feeds
- Detects and tracks people
- Counts entries, exits, and dwell times in zones
- Useful for occupancy management and traffic analysis
Memory trick: Video Stream's Spatial Sense Counts People in Zones.