Real-Time Vehicle Density Monitoring
Computer Vision & Traffic Analysis
FPT University11/2024 - 02/2025
4 months
Project Overview
Developed a Flask web application that monitors traffic density by displaying a fixed road on a map and using the YOLO model for real-time vehicle counting. The road color changes based on vehicle density, reflecting traffic conditions. The system provides real-time vehicle counting on a road, displayed in 4 interactive frames with map visualization, vehicle counts, pie charts, and time series data.
Technologies & Tools
Backend & AI
Frontend & UI
Tools & Libraries
Challenges
Implementing real-time vehicle detection with YOLO model
Creating interactive map visualization with traffic data
Processing live video streams efficiently
Synchronizing multiple data visualization frames
Key Learnings
Mastered computer vision techniques for traffic analysis
Gained experience in real-time data processing and visualization
Learned YOLO object detection implementation
Developed skills in Flask web application development
Project Gallery
Map visualization showing traffic density by road color
Real-time vehicle detection and counting interface
Interested in working together?
Let's discuss your next project and how I can help bring your ideas to life.
Get in touch