9264_subset Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Solar Panel Maintenance: The model can be used by solar energy companies to monitor and maintain their solar panels. By identifying anomalies like hotspots, bypass-diodes, multi-cell issues, these companies can improve efficiency and extend the lifespan of their equipment.
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Building Inspections: For buildings fitted with solar panels, this model can be used during routine inspections to identify potential issues or energy efficiency losses due to various PV anomalies.
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Satellite Imagery Analysis: The model could also be used in satellite images to detect anomalies in solar installations in remote areas or large solar farms, which can help in identifying maintenance needs and resolving issues in a timely manner.
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Solar Panel Manufacturing Quality Control: The model can be deployed during the production stage to detect any anomalies in the PV modules. This will ensure the quality of the solar panels before they are shipped to customers.
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Education and Training: Students and professionals learning about solar energy can use this model to better understand different anomalies that can occur in photovoltaic (PV) systems, preparing them to diagnose and resolve such issues in real-world applications.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
9264_subset_dataset,
title = { 9264_subset Dataset },
type = { Open Source Dataset },
author = { multi stage label assist },
howpublished = { \url{ https://universe.roboflow.com/multi-stage-label-assist-v5llp/9264_subset } },
url = { https://universe.roboflow.com/multi-stage-label-assist-v5llp/9264_subset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-24 },
}