PPE-DETECTION Computer Vision Project
Here are a few use cases for this project:
-
Workplace Safety Monitoring: The model can be used to automate the process of monitoring workers at construction sites, factories, or laboratories, ensuring they are all wearing the necessary protective equipment such as helmets, vests, gloves, and safety shoes. It will help in reducing the risk of accidents and maintain high safety standards.
-
PPE Compliance Auditing: Companies can use this model in real-time or in reviewing surveillance footage to evaluate compliance with the Personal Protective Equipment (PPE) guidelines in their given industry. It will simplify the auditing process by providing accurate and timely information.
-
Training Simulations and Studies: This model can be used in training software or simulations to study and explain the importance of wearing proper PPE to trainees. Using these images, the model can illustrate and validate the right and wrong ways to wear PPE.
-
PPE Manufacturers' Quality Control: The model can be used by PPE manufacturers to inspect and confirm if their products are up to safety standards while in use in practical conditions.
-
Insurance Investigations: Insurance companies can use the model to verify claims related to workplace accidents, where the presence or absence of appropriate safety equipment may impact the claim's validity.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ppe-detection-q897z_dataset,
title = { PPE-DETECTION Dataset },
type = { Open Source Dataset },
author = { Ai Project YOLO },
howpublished = { \url{ https://universe.roboflow.com/ai-project-yolo/ppe-detection-q897z } },
url = { https://universe.roboflow.com/ai-project-yolo/ppe-detection-q897z },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-04-28 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the PPE-DETECTION project in your project.