Microsoft Certified: Azure AI Engineer AssociateImplement image and video processing solutionsHard
A smart city initiative is deploying cameras at busy intersections to monitor vehicle flow and pedestrian activity. They need to analyze real-time video streams to count the number of vehicles and pedestrians entering specific zones and track their movement patterns within those zones. Which Azure AI service and feature combination would provide the most effective solution?
- AAzure Computer Vision - Spatial Analysis
- BAzure Computer Vision - Analyze Image (Object Detection)
- CAzure Video Indexer - Content Moderation
- DAzure Custom Vision - Image Classification
Show answer & explanationAnswer & explanation
Correct answer: A. Azure Computer Vision - Spatial Analysis
The requirement is to analyze real-time video streams for counting and tracking objects (vehicles, pedestrians) within defined zones. Azure Computer Vision's Spatial Analysis is specifically designed for this, enabling the definition of zones, tracking object movement, and generating counts based on entry/exit points in video feeds.
Why the other options are wrong
- B. Analyze Image (Object Detection) works on single images to detect objects, but lacks the real-time video stream processing, zone definition, counting, and tracking capabilities needed.
- C. Content Moderation in Video Indexer focuses on identifying inappropriate content, not counting or tracking objects in zones.
- D. Image Classification categorizes entire images and is not suitable for counting or tracking multiple objects in video streams.
Computer Vision Spatial Analysis
Azure Computer Vision's Spatial Analysis enables the detection, tracking, and counting of people and objects in real-time video streams within defined zones.
- Processes live video feeds.
- Defines custom zones for monitoring.
- Counts entries/exits and tracks movement.
- Ideal for crowd management, traffic monitoring, retail analytics.
Memory trick: Spatial Analysis gives 'Space Stats' for moving objects in zones.