PolvoSolar Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
-
Solar Panel Maintenance: A company that manages solar panels could use the "PolvoSolar" model to identify when the panels are dusty and schedule cleaning, optimizing power generation capacity.
-
Air Quality Monitoring: Environmental agencies could use the model to monitor levels of dust in the air and provide timely information about air quality, potentially alerting people with allergies or respiratory issues.
-
Cleaning Industry Automation: Cleaning companies could use the system to inspect their tasks. The model can be used to confirm whether a surface is clean or not, ensuring high cleaning standards.
-
Construction Site monitoring: Construction companies can use this model to assess dust levels across the site, thereby ensuring safety standards and improving worker conditions.
-
Home Automation Systems: Smart home developers could integrate the model into their systems for automatic detection of dust in the home, prompting the activation of cleaning systems or alerting the homeowner.
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{
polvosolar_dataset,
title = { PolvoSolar Dataset },
type = { Open Source Dataset },
author = { DronesSolares },
howpublished = { \url{ https://universe.roboflow.com/dronessolares/polvosolar } },
url = { https://universe.roboflow.com/dronessolares/polvosolar },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-22 },
}