Web-based Traffic and Security Network Traffic Monitoring

NetFlow aggregation and graph toolkit

A Jupyter notebook demonstrating motion detection in videos using OpenCV techniques such as background subtraction and erosion, tailored for real-world applications.

TCP Traffic Analyzer

Training Notebooks for Traffic Models

The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.

An intelligent traffic management system to guide traffic authorities understand the trends of traffic and predict the future traffic conditions so that they can prepare themselves. Along with this it gives many other features to improve traffic control.

Simple UI for traffic cameras around the city of Tampere

Simulation of traffic using python and pygame for simulate multiple variables Density (number of vehicles), time and speed

The Network Traffic Analyzer is a Python script designed for capturing and analyzing network traffic, focusing primarily on DNS traffic. This tool provides users with the capability to monitor network activity in real-time and extract relevant information from captured packets.

An open source real-time network topology and protocols analyzer

High-performance NetFlow v5/v9 and IPFIX collector (RFC7011)

⭐ ⭐ Distributed tcpdump for cloud native environments ⭐ ⭐

SSH traffic HTTP spoofer

This model is very useful to detecting cars, buses, and trucks in a video.

This repository demonstrates YOLOv8-based license plate recognition with GCP Vision AI integration, enabling versatile real-world applications like vehicle identification, traffic monitoring, and geospatial analysis while capturing vital media metadata for enhanced insights.

Este proyecto se creó en respuesta al desafío de modelización lanzado por Kopuru con el objetivo de predecir el tráfico en la entrada de un polígono industrial. Kopuru planteó este reto para abordar uestiones relacionadas con la gestión del tráfico y mejorar la eficiencia en un entorno industrial.

Traffic flow monitoring using thermal camera: Detection of vehicles through fine-tuned YOLO-NAS, tracking of objects using SORT, and counting unique objects of interest as they pass through specified regions.