Attend School Computer Vision Project

GIS

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Security Management: The "Attend School" model could be used in school premises to monitor and manage security. It could detect and record the entry and exit of personnel and vehicles, ensuring only authorized individuals and transportation means are permitted on campus.

  2. Attendance Tracking: This computer vision model can be used to automate attendance tracking for school staff. By identifying personnel entering and leaving the building, it can accurately document arrival and departure times, reducing the need for manual check-ins.

  3. Traffic Management: The "Attend School" model can be utilized for efficient traffic management during school hours. The model can identify vehicles, enabling authorities to manage school pick-up and drop-off zones effectively, preventing congestion and ensuring student safety.

  4. School Bus Management: The model can be employed to monitor school buses. It can identify and record when each vehicle arrives or leaves, providing a useful tool for ensuring timeliness and accountability in school transport services.

  5. Emergency Services: In the case of an emergency, the "Attend School" model could be used to identify and count the number of personnel and vehicles present in the school, helping emergency responders to plan and execute their operations more effectively.

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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{
                            attend-school_dataset,
                            title = { Attend School Dataset },
                            type = { Open Source Dataset },
                            author = { GIS },
                            howpublished = { \url{ https://universe.roboflow.com/gis-5qvmz/attend-school } },
                            url = { https://universe.roboflow.com/gis-5qvmz/attend-school },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-11-24 },
                            }