Front2 Computer Vision Project

Here are a few use cases for this project:

1. Traffic Management and Control: The "Front2" model can be utilized in complex traffic management systems to identify and differentiate the various road users. This information can be used to optimize traffic light schedules, identify potential traffic hotspots and proactively manage traffic jams.

2. Autonomous Vehicle Technology: Autonomous vehicles can benefit greatly from this model, using it to understand the surrounding environment by identifying pedestrians, cyclists, other vehicles, and tricycle users. This could potentially enhance safe navigation and decision-making capabilities.

3. Urban Planning: City planners and architects could use the "Front2" model to analyze specific zones and understand the mix of pedestrian classes for better urban design. This would support creating safer and more efficient infrastructure tailored towards the common users.

4. Public Safety and Security: The model could be used in surveillance systems to monitor the presence and activities of different pedestrian classes, assisting in crime detection and prevention.

5. Road Safety Research: Researchers can use the "Front2" model to understand the interaction of various road users, contributing to studies towards the improvement of road safety rules and regulations. This can potentially lead to solutions mitigating accidents involving pedestrians, cyclists, and motorcyclists.