PolvoSolar Computer Vision Project
Updated a year ago
Here are a few use cases for this project:
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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.
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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.
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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.
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Construction Site monitoring: Construction companies can use this model to assess dust levels across the site, thereby ensuring safety standards and improving worker conditions.
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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.
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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 2024-11-05 },
}