Pistol Detection Computer Vision Project

LucieDuck095

Updated 3 years ago

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Classes (6)
Abuse
Arrest
Gun Normal
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arrest
Description

Here are a few use cases for this project:

  1. Public Security Systems: The "Pistol Detection" model can be implemented in CCTV surveillance systems within public spaces or transportations. It can help to alert authorities of a potential threat when a gun is visible, aiding in a quick response and effective crime prevention.

  2. Social Media Content Monitoring: Social media platforms can use this model to auto-moderate videos or images that promote gun violence or other criminal activities. This will help to control harmful content and achieve a safer virtual environment.

  3. Law Enforcement & Security Training: The model can simulate different scenarios for training law enforcement personnel on how to detect and respond to situations involving pistols.

  4. Smart Home Security Systems: Building this model into home security systems can enable the detection of pistols and auto-alert homeowners or security companies, thus improving residential safety.

  5. Border Security Inspection: The model can be used at border crossings or custom checks to automate the process of identifying concealed weapons in vehicles or baggage, easing the workload for security personnel and enhancing screening efficiency.

Supervision

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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{
                            pistol-detection-h1vhd_dataset,
                            title = { Pistol Detection Dataset },
                            type = { Open Source Dataset },
                            author = { LucieDuck095 },
                            howpublished = { \url{ https://universe.roboflow.com/lucieduck095/pistol-detection-h1vhd } },
                            url = { https://universe.roboflow.com/lucieduck095/pistol-detection-h1vhd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-11-17 },
                            }