Project Overview:
Svetlio aims to enhance the flow and safety of vehicular traffic in Sofia by intelligently optimizing traffic light timings and providing real-time traffic light status to drivers through popular navigation apps. Utilizing advanced image recognition technologies, the system categorizes vehicles, monitors queue lengths at traffic lights, and recognizes eco stickers for a more sustainable urban mobility.
Key Features:
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Traffic Optimization:
- Monitors real-time queue lengths at traffic lights using camera surveillance.
- Dynamically adjusts green light duration based on queue length, with a maximum cap (e.g., 2 minutes) to prevent excessive wait times for cross traffic.
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Vehicle Categorization:
- Utilizes YOLO (You Only Look Once) technology for real-time vehicle recognition and categorization (e.g., passenger cars, trucks, buses).
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Eco Sticker Recognition:
- Identifies vehicles' registration numbers to determine eco sticker compliance and potentially prioritize eco-friendly vehicles.
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Traffic Light Status on Navigation Apps:
- Develops a plugin for navigation apps (Google Maps, Waze) to display real-time traffic light status (green, red), enhancing route planning and reducing congestion.
Objective:
To reduce traffic congestion, lower carbon emissions by prioritizing eco-friendly vehicles, and improve overall road safety in Sofia through smart traffic light management and integration with existing navigation technologies.
Technologies:
- Image Recognition (YOLO for vehicle categorization)
- Real-time Data Processing and Analytics
- Plugin Development for Google Maps and Waze
Looking for Contributors:
We are seeking developers and researchers passionate about smart city solutions and sustainable urban mobility. If you have experience in image processing, data analytics, or app development, join us in making Sofia's roads safer and more efficient.