Gun Detection Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Security Surveillance: This model can be used in real-time security surveillance systems in various high-risk areas such as banks, airports, schools, or government buildings to detect any individuals possessing firearms. It can alert security personnel immediately once a firearm is detected.
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Crime Prevention: Law enforcement agencies and police departments can use this model to identify and track individuals carrying guns in public spaces, helping to prevent potential violent incidents and crimes.
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Social Media Monitoring: The model can be applied to scan and monitor social media content and online videos for illegal display of firearms, significantly aiding in online safety and cyber law enforcement.
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Video Content Filtering: Online platforms such as YouTube or TikTok can leverage this model to filter out or flag content that contains guns, ensuring that such content doesn't reach the wrong audience like minors or individuals susceptible to violence.
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AI-based Video Games: Developers may use this model in AI-enhanced video games for accurately identifying guns and players, contributing to more realistic game scenarios or possibly supporting anti-cheating mechanisms.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
gun-detection-l9sbe_dataset,
title = { Gun Detection Dataset },
type = { Open Source Dataset },
author = { MYWORK },
howpublished = { \url{ https://universe.roboflow.com/mywork-mfftd/gun-detection-l9sbe } },
url = { https://universe.roboflow.com/mywork-mfftd/gun-detection-l9sbe },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-21 },
}