ordnance detect Computer Vision Project

Taamir Ransome

Updated 3 years ago

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f1-grenade
Description

Here are a few use cases for this project:

  1. Military Training and Safety: The "ordnance detect" model can be used in military training exercises to help soldiers identify various types of grenades and other explosive devices, improving their knowledge and increasing safety during training sessions.

  2. Explosive Ordinance Disposal (EOD)/Bomb Squad Assistance: The model can be employed to assist EOD and bomb squad teams in identifying and locating potential explosives, including f1-grenades, during their missions. This can help minimize the risk to human lives and ensure a quicker response time.

  3. Surveillance and Security Systems: The "ordnance detect" model can be integrated into surveillance and security systems to monitor public spaces, airports, or other sensitive areas for the presence of explosives, enabling faster detection and response to potential threats.

  4. Border and Custom Control Support: The model can be used at border checkpoints and customs inspections to assist in the detection of illicit smuggling of explosives or other dangerous materials, thereby enhancing safety and security.

  5. Hazardous Waste Management: The "ordnance detect" model can be helpful in managing and disposing of hazardous materials, such as detecting and identifying unexploded ordnance (UXO) at former military sites or construction areas, ensuring these spaces are safe for redevelopment and public use.

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Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            ordnance-detect_dataset,
                            title = { ordnance detect Dataset },
                            type = { Open Source Dataset },
                            author = { Taamir Ransome },
                            howpublished = { \url{ https://universe.roboflow.com/taamir-ransome/ordnance-detect } },
                            url = { https://universe.roboflow.com/taamir-ransome/ordnance-detect },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { aug },
                            note = { visited on 2024-11-26 },
                            }