people_counting Computer Vision Project

sharonvarghese1997@gmail.com

Updated 14 days ago

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Description

Here are a few use cases for this project:

  1. Crowd Control: Use the "people_counting" model for monitoring and managing crowd sizes at public events such as concerts, sports events, or festivals. The model can provide real-time data on the number of people present, which can be used to control entry and enforce safety standards.

  2. Retail Analysis: The model can be used in retail settings to monitor customer traffic in stores. Understanding peak hours and days can help management make decisions about staffing, product placement, and sales promotions.

  3. Public Safety: Implement the model in surveillance systems of urban areas to detect overcrowded zones or unusual gathering which may indicate a potential public safety issue such as protests or accidents.

  4. Transportation Planning: Use the model in public transportation planning. By counting the number of people on different routes or at different times, planners can effectively manage routes and schedules.

  5. Smart Building Management: Implement the model in commercial and residential buildings to monitor occupancy rates and usage patterns. This data can be used for optimizing energy management and improving facilities management.

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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{
                            people_counting-vrfoo_dataset,
                            title = { people_counting Dataset },
                            type = { Open Source Dataset },
                            author = { sharonvarghese1997@gmail.com },
                            howpublished = { \url{ https://universe.roboflow.com/sharonvarghese1997-gmail-com/people_counting-vrfoo } },
                            url = { https://universe.roboflow.com/sharonvarghese1997-gmail-com/people_counting-vrfoo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { dec },
                            note = { visited on 2024-12-24 },
                            }
                        
                    

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