Office_person Computer Vision Project

KFT

Updated 6 months ago

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Description

Here are a few use cases for this project:

  1. Workspace Management The "Office_person" model can be employed to manage office space efficiently. It can help determine the usage of different areas in the office by tracking the presence of people, thereby assisting in creating more effective seating arrangements or redesigning spaces.

  2. Office Security Enhancement The model could be used as a part of security surveillance systems to identify the presence of unauthorized personnel inside the office, thereby improving the overall security of the office premises.

  3. Activity Monitoring In workplaces where employee activity tracking is needed, the model can be utilized to confirm if employees are at their designated places throughout the workday.

  4. Emergency Evacuation Procedure During emergency situations, this model can help track the number of people in the building, ensuring no one is left behind during an evacuation.

  5. Attendance Management The "Office_person" computer vision model could be utilized to automate the attendance process, where the model identifies when an employee enters or leaves the office premises, thereby eliminating traditional check-in and check-out systems.

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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{
                            office_person-hajby_dataset,
                            title = { Office_person Dataset },
                            type = { Open Source Dataset },
                            author = { KFT },
                            howpublished = { \url{ https://universe.roboflow.com/kft/office_person-hajby } },
                            url = { https://universe.roboflow.com/kft/office_person-hajby },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jun },
                            note = { visited on 2024-12-22 },
                            }