This vehicle identification project utilizes the YOLOv5 deep learning model for detecting and classifying vehicles from images, videos, and live streams. It supports real-time inference, saving outputs with bounding boxes, confidence scores, and class labels, making it ideal for traffic monitoring and smart surveillance systems.

R API client for Bay Area traffic data

Google Maps Traffic Notifier

YouTube Channel Traffic Source Tracker monitor

Al-Go is a thesis project by ECE students Balla, Saavedra, and Tejano focused on intelligent traffic monitoring. Pedestrian.py detects and tracks pedestrians and PWDs using a trained model and tracking. Vehicle.py counts vehicles in zones. Program.py manages the Raspberry Pi camera, processes frames, and handles data transmission.

A YOLOv8 based project for real-time traffic density estimation. It employs fine-tuned vehicle detection models to analyze and count vehicles per frame, aiding urban traffic management and planning. The repository includes model training, traffic intensity analysis, and deployment strategies.

Traffic monitoring application that is capable of doing real time car counting under strenuous conditions.

java utility which detects potential network leaks using some algorithms

Displaying real-time and historical traffic data for the City of Toronto

This project provides an intelligent real-time traffic monitoring system that detects, tracks, counts vehicles, and estimates speed using perspective transformation.

A lightweight CLI HTTP debugging proxy written in Go, designed for developers to inspect, filter, and log HTTP/HTTPS traffic directly from the terminal.

A lightweight toolkit for real-time capturing, analyzing, and enforcing data usage policies on network traffic. This project leverages linux, tcpdump, tshark, bash, and python to inspect network packets and identify high-bandwidth applications.

Surge is a powerful and flexible network management tool designed to optimize, monitor, and debug your internet connections.

Distributed IoT Sensor Network track population traffic and contribute energy saving to Cooper Union

This project provides a comprehensive guide to object detection in cluttered environments using YOLOv8. It demonstrates how to identify and classify objects in both still images and video streams

WordPress access log plugin with visitor tracking, bot filtering, CSV export/import, charts, and security features.