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Intelligent Multi-Source Video Analytics & Streaming Platform
Design and implement a multi-source, real-time video analytics and streaming platform that: - Aggregates feeds from multiple webcams or IP cameras - Applies AI-powered analytics (e.g., person detection, motion heatmaps) on a server - Streams both raw and annotated video to clients using GStreamer - Provides a REST API for dynamic control and monitoring - Includes MQTT as an optional messaging layer for advanced synchronization - Offers a simple OpenCV-based client (or web page) to view streams System Architecture 1. Video Ingestion Layer - GStreamer pipelines capture N sources (webcam streams) in parallel. 2. Server-Side Analytics Engine - In Python (OpenCV + TensorFlow/PyTorch), processes each frame for: - Person/object detection (e.g., YOLOv5 Tiny, SSD, ...) - Motion heatmaps or object t...