traffic lights2 Computer Vision Project

Here are a few use cases for this project:

1. Urban Traffic Analysis: Utilize the "traffic lights2" model to analyze traffic patterns and flow in German cities, as well as in London and Paris. This could provide insights for city planners and traffic engineers to improve traffic management and infrastructure.

2. Autonomous Vehicle Navigation: Integrate the model into autonomous vehicle systems to help recognize, understand, and respond to traffic lights and other road signs, improving vehicle navigation and safety in European cities.

3. Historical Cityscape Study: Use the model to identify and analyze historical images of Dresden, London, and Paris, reconstructing urban development and architectural styles over time for historical or preservation projects.

4. Augmented Reality Tourism: Implement the model in an augmented reality app or device, providing real-time information about various landmarks, buildings, and traffic signals to tourists while visiting Germany or other European cities, enhancing their travel experience.

5. Pedestrian Safety Initiatives: Apply the model to evaluate and improve pedestrian safety in urban areas by analyzing locations with high incidences of accidents, determining contributing factors such as unclear traffic lights or poorly designed intersections, and proposing data-driven solutions.