Vietnam-Traffic-Sign-Detection Computer Vision Project

Here are a few use cases for this project:

1. Traffic Management Application: The model can be used by city planners, traffic engineers or relevant authorities to identify and analyze the number and types of traffic signs on routes, which can help in better road planning, traffic congestion management and safety measures enforcement.

2. Autonomous Vehicles: Self-driving cars or delivery drones could use this model to identify and decipher traffic signs, ensuring safer navigation and understanding route instructions in Vietnam.

3. Driver Assistance System: The model can be integrated into dash-cam enabled vehicles as part of their Advanced Driver Assistance System (ADAS), to warn drivers about the approaching traffic signs, thus promoting road safety.

4. Virtual and Augmented Reality Applications: This model can be used to create VR/AR applications focused on driving education, particularly for people who want to learn driving rules in Vietnam. The system can recognize traffic signs and provide real-time guidance to users about what each sign means and how to respond accordingly.

5. Tourist Guidance Apps: Travel applications can employ this model to help tourists, particularly those renting vehicles, understand local traffic rules, ensuring they follow the correct etiquette and regulations when driving around Vietnam.