Overview

The traffic analysis program for roundabouts leverages a robust architecture built around multiple cameras, a time-series database (InfluxDB), and data visualization through Grafana. This system provides real-time analysis of incoming traffic, allowing users to assess the congestion on approaching roads and view interactive statistics. Whether you're looking to monitor traffic flow for city planning or improve daily commute for residents, this tool offers an intricate and comprehensive solution.

The setup process is streamlined with clear instructions, enabling users to clone the repository, configure environment variables, and launch the project with ease. In just a few commands, you'll have your statistical dashboards ready for detailed analysis, offering valuable insights into traffic patterns.

Features

Real-Time Video Analysis: Processes RTSP streams or MP4 files to analyze traffic flow and provide immediate insights into congestion levels.
Interactive Dashboards: Utilizes Grafana to create user-friendly dashboards that visualize statistical data, making it easy to monitor key metrics.
Modular Camera Integration: Each camera operates independently, allowing for easy scaling with additional instances added to the docker-compose configuration.
Kafka-Based Data Handling: Leverages Kafka for efficient temporary data storage and transmission, ensuring seamless communication between different system components.
InfluxDB for Time-Series Data: Stores analytics data optimally to handle high volumes of streaming information with quick access and retrieval times.
Nginx Reverse Proxy: Displays multiple video streams from various endpoints effectively, consolidating access through a single point for user convenience.
Comprehensive Configuration Options: Offers customization through environmental variables, enabling users to configure logins, passwords, and other settings easily.
Detailed Documentation: Provides an extensive tutorial and architecture overview, facilitating easy onboarding and implementation for users with varying technical expertise.

Koldim2001

TrafficAnalyzer