secil Computer Vision Project
Here are a few use cases for this project:
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Fire Monitoring Systems: The "secil" model could be integrated into automated fire detection systems used in businesses, residential areas, and forests to identify fire-smoke at early stages and alert the authorities, effectively preventing large-scale damage.
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Smart Home Security: It could be used in smart home security systems for early fire detection, triggering automatic responses such as alarm notifications to occupants or shutting down potential fire sources.
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Emergency Services Aid: The model could assist fire departments and emergency services by analyzing drone or satellite footage to pinpoint the exact location and extent of fires, guiding resource allocation and evacuation strategies.
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Monitoring Industrial Activities: Industries dealing with flammable materials could utilize this model to identify and mitigate potential fire occurrences during their operations, enhancing overall workplace safety.
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Environmental Research: "secil" can be used in environmental research to monitor forest fire and smoke patterns, helping to understand the impact on global warming and contributing to more accurate climate change models.
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{
secil_dataset,
title = { secil Dataset },
type = { Open Source Dataset },
author = { CIRCE },
howpublished = { \url{ https://universe.roboflow.com/circe/secil } },
url = { https://universe.roboflow.com/circe/secil },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-06-01 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the secil project in your project.
