PolvoSolar Computer Vision Project

DronesSolares

Updated a year ago

65

views

6

downloads
Classes (2)
Clean
Dust
Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. Construction Site monitoring: Construction companies can use this model to assess dust levels across the site, thereby ensuring safety standards and improving worker conditions.

  5. 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.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            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 2024-11-21 },
                            }