Drone Detection Computer Vision Project

Muhammad Ahmad

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Sports Security: The "Drone Detection" model can be utilized at sporting events to ensure safety by identifying any drones within the vicinity that could potentially cause disruptions or pose a threat.

  2. Intrusion Identification: The model could be used within a home security system to detect the presence of drones, aiding in early detection of potential trespassing or invasion of privacy.

  3. No-Fly Zone Compliance: Authorities can use this model to monitor no-fly zones such as airports, military bases or protected wildlife areas, identifying any drones that may be in violation of these restrictions.

  4. Drone Traffic Management: For areas with high drone activity, this model could be used to help track and manage drone traffic, preventing collisions and maintaining orderly flight patterns.

  5. Wildlife Monitoring: In wildlife and conservation contexts, the model can be used to detect and track the usage of drones being used for wildlife observation or hunting, ensuring it does not disturb the animals.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            drone-detection-vh4ix_dataset,
                            title = { Drone Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Muhammad Ahmad },
                            howpublished = { \url{ https://universe.roboflow.com/muhammad-ahmad-rpdsk/drone-detection-vh4ix } },
                            url = { https://universe.roboflow.com/muhammad-ahmad-rpdsk/drone-detection-vh4ix },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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