Final na i2 Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Traffic Management and Analysis: By using the "Final na i2" model, urban planners and policymakers can analyze and interpret traffic flow within the city and use this information to improve infrastructure, manage traffic congestion, and propose new transportation policies.
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Smart Parking Solutions: This model can be used to improve the efficiency and utilization of parking spaces. It can identify which type of vehicle is entering or leaving the parking area and allocate space accordingly. This solution can improve urban parking and traffic flow.
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Autonomous Vehicles: This model could be integrated into self-driving vehicles to aid in identification and differentiation of various vehicle types on the roads. It can contribute to safe and efficient navigation.
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Security and Surveillance Systems: The model can be implemented into CCTV cameras for identifying and tracking different types of vehicles, contributing to improve public safety and crime investigation.
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Road Maintenance Planning: By understanding the type and quantity of vehicles regularly using specific roads, maintenance schedules can be optimized. Heavily used roads or roads used by larger vehicles like buses or trucks might require more frequent maintenance.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
final-na-i2_dataset,
title = { Final na i2 Dataset },
type = { Open Source Dataset },
author = { Kent Rafiel },
howpublished = { \url{ https://universe.roboflow.com/kent-rafiel/final-na-i2 } },
url = { https://universe.roboflow.com/kent-rafiel/final-na-i2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-12-22 },
}