Armed/Unarmed Test Computer Vision Project
Updated 24 days ago
Here are a few use cases for this project:
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Security Surveillance: The model can be deployed to monitor live CCTV feeds in public places, such as bus stations, schools, or airports, to detect potential threats and alert security personnel.
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Social Media Monitoring: By scanning user-posted images or videos, social networks could use this model to identify harmful content and take appropriate actions.
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Law Enforcement and Forensics: The model can assist in analyzing crime scene photos or videos to quickly identify whether the subjects were armed or unarmed, making it easier for law enforcement to make conclusions.
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Video Game Development: Game developers can use this model to develop more realistic games. For instance, the model could influence the behavior of in-game AI based on whether characters are armed or unarmed.
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Autonomous Vehicle Safety: The model could be incorporated into autonomous vehicle systems to assess potential threats in the environment and make appropriate adjustments to vehicle operation, particularly in conflict zones.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
armed-unarmed-test-rbxh9_dataset,
title = { Armed/Unarmed Test Dataset },
type = { Open Source Dataset },
author = { Streletsweapon },
howpublished = { \url{ https://universe.roboflow.com/streletsweapon/armed-unarmed-test-rbxh9 } },
url = { https://universe.roboflow.com/streletsweapon/armed-unarmed-test-rbxh9 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2024-11-21 },
}