seguranca em pontes Computer Vision Project

Yasser Schuck Antonio Tuma

Updated 2 years ago

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barrier
person

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Description

Here are a few use cases for this project:

  1. Bridge Safety Monitoring: The "seguranca em pontes" model can be utilized in real-time monitoring systems on bridges to detect instances of individuals jumping off, which could potentially save lives.

  2. Infrastructural Maintenance: Applying this model could help engineers or other personnel monitor the physical status of safety barriers on bridges, ensuring they are well-maintained and are correctly in place.

  3. Traffic Management: This application could include understanding pedestrian movement, potentially identifying cases of jaywalking or any other abnormal pedestrian behavior around the bridge.

  4. Event Detection: By using the model, authorities could detect any unauthorized events or gatherings that might occur on the bridge, such as a large group of people congregating at certain spots which can lead to potential safety risks.

  5. Incident Reporting: The model could be integrated into an automatic incident reporting system that sends alerts to local authorities when a potential safety violation or unusual behavior is detected, like people climbing/jumping barriers.

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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{
                            seguranca-em-pontes_dataset,
                            title = { seguranca em pontes Dataset },
                            type = { Open Source Dataset },
                            author = { Yasser Schuck Antonio Tuma },
                            howpublished = { \url{ https://universe.roboflow.com/yasser-schuck-antonio-tuma/seguranca-em-pontes } },
                            url = { https://universe.roboflow.com/yasser-schuck-antonio-tuma/seguranca-em-pontes },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2025-01-03 },
                            }