UAV Detection Computer Vision Project
Updated 2 years ago
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Metrics
Here are a few use cases for this project:
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Drone Traffic Management: With the increasing number of drones used for delivery, photography, surveillance etc., this model can be used to monitor the airspace and manage drone traffic to avoid collisions or unauthorized access to certain areas.
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Safety and Security Monitoring: In areas where drones are considered a threat, such as near airports, military bases, or public events, the model can be used to detect any UAVs entering the area and trigger appropriate countermeasures if necessary.
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Wildlife Research: The model can help ecologists to study how birds and other wildlife interact with drones, providing critical information for conservation efforts and understanding the impacts of drones on wildlife.
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Drone Racing: In drone racing events, the model could be employed to accurately assess the position and movement of each racing drone, providing real-time tracking and supporting the fair adjudication of the race.
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Law Enforcement Use: Police can use the "UAV Detection" model to identify illegal use of drones for activities such as smuggling drugs or other contraband across borders or into high-security prisons.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
uav-detection-zlcin_dataset,
title = { UAV Detection Dataset },
type = { Open Source Dataset },
author = { uav },
howpublished = { \url{ https://universe.roboflow.com/uav-i6z6x/uav-detection-zlcin } },
url = { https://universe.roboflow.com/uav-i6z6x/uav-detection-zlcin },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-12-23 },
}