Description

AI TRAFFIC JAM OPTIMIZER

PROJECT GOALS:

Develop a Smart City prototype that monitors traffic at one selected intersection in Holon and presents an up-to-date picture of congestion. The system will provide traffic data that can support future decisions about traffic management.

SYSTEM OVERVIEW:

A camera or recorded video provides footage of the intersection. An AI model detects, classifies, tracks, and counts vehicles while avoiding duplicate counts. The system sends the resulting measurements through LoRaWAN to a central server, which stores the data and displays traffic levels on a live map-based dashboard.

STUDENT REQUIREMENTS:

Students will work as a team to build and integrate the video analysis, data transmission, server, and dashboard. They are expected to participate in weekly meetings, take responsibility for their work, and learn independently. The project requires Python skills and an interest in AI, computer vision, and IoT.

TECHNOLOGIES:

AI and Video Processing: Python, OpenCV, YOLO, object tracking
Communication: LoRaWAN, Python struct library, microcontroller and LoRa hardware
Backend: FastAPI
Dashboard: dynamic map with React.js
Development Tools: Git and GitHub

DELIVERABLES:

• Working Prototype: An end-to-end system demonstrating AI-based video processing, traffic data extraction, LoRa transmission, and real-time updates to the municipal control dashboard.
• GitHub Repository: Complete, documented, and organized source code, including project documentation.
• Project Presentation: A comprehensive technological and business presentation covering the system architecture, selected AI model, development challenges, and results.
• Academic Poster: A visual poster presenting system diagrams, AI model accuracy graphs, and dashboard screenshots.
• YouTube Demonstration Video: 10 minutes video including a technical explanation and live demonstration of the system and AI model.

AI Traffic Jam Optimizer - Full Stack

AI and Machine Learning

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task