Realtime Video Stream Analysis with Computer Vision

Leo Ueno's guide, published on May 3, 2024, details the process of creating a real-time road congestion monitoring system using computer vision on remote camera streams from New York City. The project starts with processing a single camera stream using Roboflow's vehicle detection model and the InferencePipeline tool to render bounding boxes on video frames and record vehicle counts in a Google Sheet. It then progresses to handling multiple camera streams, each with its own VideoWriter instance, allowing for the aggregation of data from different street locations. The guide explains how to use pre-trained models, like those from Roboflow Universe or YOLO, and highlights the potential to customize or train models for different applications. By employing the Inference package, users can analyze live streams from various locations and adapt the system for different use cases, such as retail analysis or occupancy statistics, providing valuable insights into traffic conditions.