Patinetes electricos Computer Vision Project

Here are a few use cases for this project:

1. Urban Traffic Control: City traffic management systems can utilize this model to identify the number of e-scooters on the streets. This data can help in making decisions regarding traffic rules, determining busy routes, planning for bike/scooter lanes, and studying the impact of e-scooters on overall traffic.

2. E-scooter Rental Services: Rental companies can use this model to identify whether their e-scooters are being used and how often. By analyzing security footage or publicly available CCTV feeds, they can track the utilization of their fleet.

3. Safety and Compliance Observance: The model can be used to monitor safety regulations. For example, detecting if riders are wearing helmets/face masks or if e-scooters are being used on pedestrian sidewalks instead of designated paths.

4. Retail and Manufacturing: Manufacturers and retailers of e-scooters could use this model to identify popular scooter models, extrapolate market trends, and inform product development and marketing strategies.

5. Smart City Infrastructure: The model can be used in smart city applications, contributing to understanding mobility patterns, plan infrastructure, and greater integration of e-scooters into the urban mobility landscape.