safety_project Computer Vision Project

Object Detection

Updated 2 years ago

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Classes (5)
Invalid_balcony
Valid_balcony
person_with_helmet
person_without_helmet
rail

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Description

Here are a few use cases for this project:

  1. Construction Site Safety Monitoring: Use the "safety_project" model to monitor construction sites for compliance with safety regulations. The model identifies workers wearing helmets and those without, as well as detecting valid and invalid balconies. This helps enforce safety protocols and reduce the risk of accidents on-site.

  2. Insurance Risk Assessment: Incorporate the model into insurance assessments of properties under construction by evaluating the safety measures in place. Identifying helmet usage, balcony safety, and crowd presence can help insurance companies determine more accurate premiums and coverage.

  3. Event Safety Management: Implement the computer vision model at public events, rallies, or concerts to identify and manage safety risks. The model could detect overcrowded balconies, attendees without proper safety equipment (e.g., helmets in extreme sports events), and potential hazards in real-time, allowing organizers to take corrective measures.

  4. Occupational Safety Training: Utilize the model to analyze and improve safety training videos and materials. The model can determine if proper safety equipment is used and if the environment is safe throughout the training material, helping to refine instructional content for maximum safety compliance.

  5. Urban Planning and Safety Evaluation: Incorporate the model into urban planning studies to assess potential safety hazards in the design of new buildings, public spaces, or even retrofitting existing structures. The identification of safe and unsafe balconies, rail designs, and general safety equipment usage trends can inform architects and planners on best practices for safety in their designs.

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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{
                            safety_project_dataset,
                            title = { safety_project Dataset },
                            type = { Open Source Dataset },
                            author = { Object Detection },
                            howpublished = { \url{ https://universe.roboflow.com/object-detection-zvkeb/safety_project } },
                            url = { https://universe.roboflow.com/object-detection-zvkeb/safety_project },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-11-20 },
                            }
                        
                    

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