plc_CV Computer Vision Project

Yusuf Bayrak

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Security Surveillance System: The "plc_CV" model can be implemented in security and surveillance systems to promptly detect the presence of police or other personnel related to plc classes. This could initiate alerts and help in managing crowd control or incident response processes more effectively.

  2. Smart Traffic Management: This model could be utilized as part of a smart traffic management system, identifying police escorts or patrols and offering priority to their routes, reducing traffic badgering and ensuring public safety.

  3. Media Analysis Software: In journalism and news agencies, this model could analyze video content to identify when police or relevant authorities appear, saving significant time during content categorization or the report development process.

  4. Emergency Response Systems: The model can be integrated into emergency response systems. When a distress signal is activated, the system could utilize camera feeds to identify if the police or necessary authorities have arrived, providing vital real-time updates to operators.

  5. Forensic Investigations: The "plc_CV" can be used to support forensic investigations, analyzing hours of video footage to identify when and where police or other officials appear. This could potentially provide key insights in various investigative scenarios.

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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{
                            plc_cv_dataset,
                            title = { plc_CV Dataset },
                            type = { Open Source Dataset },
                            author = { Yusuf Bayrak },
                            howpublished = { \url{ https://universe.roboflow.com/yusuf-bayrak-ude9b/plc_cv } },
                            url = { https://universe.roboflow.com/yusuf-bayrak-ude9b/plc_cv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2025-01-05 },
                            }
                        
                    

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