construction-safety Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
-
Worker Safety Monitoring: This model can be used in real-time surveillance to ensure all workers on a construction site are following safety parameters. It can identify if workers are properly using ladders, scaffolds, or working on roofs, and alert supervisors if there are potential safety violations.
-
Education and Training: Companies can use this model to create interactive training programs for construction workers. The model could be used in simulations to identify and callback working scenarios to teach best practices for using ladders, scaffolds, or working on roofs.
-
Project Monitoring: The model can help project managers in monitoring work progress. By identifying various classes, managers can keep an eye on what tasks are being performed, and on which part of the construction project, speeding up the overall project management process.
-
Insurance and Liability Evaluation: Insurance providers can use this model to assess the safety standards at a construction site. The data gleaned could be used for risk assessment, policy pricing, and in investigation procedures in the event of on-site accidents.
-
Personal Protective Equipment (PPE) Compliance: The model can be developed further to check whether the workers are properly using assigned PPE while working on roofs, using ladders or scaffolds, ensuring their safety and reducing the risk of injuries.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
construction-safety-azgqb_dataset,
title = { construction-safety Dataset },
type = { Open Source Dataset },
author = { ESCO },
howpublished = { \url{ https://universe.roboflow.com/esco-7veqt/construction-safety-azgqb } },
url = { https://universe.roboflow.com/esco-7veqt/construction-safety-azgqb },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-21 },
}