2000x1500 Computer Vision Project

Here are a few use cases for this project:

1. Smart Traffic Management: Use the "2000x1500" model to analyze real-time traffic conditions at busy intersections, identify pedestrians and cyclists, and optimize traffic light timings accordingly to ensure pedestrians' safety and improve overall traffic flow.

2. Public Safety Monitoring: Use the model to monitor public spaces like parks, shopping centers, and pedestrian streets for potential accidents or unlawful activities involving pedestrians and cyclists, thereby enabling quick response from law enforcement or emergency services.

3. Autonomous Vehicles: Integrate the "2000x1500" model into the perception system of self-driving cars to accurately identify and track pedestrians and cyclists in the vehicle's environment, enhancing the vehicle's ability to make safe driving decisions and avoid accidents.

4. Smart City Planning: Utilize the model to analyze pedestrian and cyclist behavior in urban environments, helping urban planners and architects design more pedestrian-friendly infrastructure such as bike lanes, crosswalks, and pedestrian-only zones.

5. Mobility Analytics for Retail & Events: Apply the "2000x1500" model to estimate foot traffic, crowd density, and pedestrian flow patterns in and around retail stores, public events, or tourist attractions, enabling better resource allocation, queue management, and crisis response planning.