fyp

fire _rooster

Object Detection

fire _rooster Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

2841 images
Explore Dataset

Here are a few use cases for this project:

  1. Wildfire Monitoring: This model can be employed for early wildfire detection and tracking. By identifying and classifying fire-starting areas at an early stage, preventive measures can ensure that the fire can be controlled more effectively.

  2. Firefighting and Emergency Response Applications: The model can be used by firefighting departments or emergency services to enhance their ability to quickly detect fire or clear regions in live CCTV feeds, drone footage, or satellite images. This can greatly reduce response times and improve the efficiency of resource allocation.

  3. Safety in Industrial Facilities: The model can be used to continually monitor high-risk industrial areas like oil refineries or hazardous chemical plants, where early detection of fire can prevent large scale disasters. It can send alerts to the control team as soon as a fire is detected.

  4. Residential Security Systems: The model can be incorporated into home security systems to detect fires and alert homeowners, property managers, or security services. This can help mitigate damages and save lives in case of fires.

  5. Environmental Research: The model can be used by environmental researchers for studying fire-associated trends and patterns, assessing damage caused by forest fires, and monitoring post-fire recovery of vegetation.

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{
                            fire-_rooster_dataset,
                            title = { fire _rooster Dataset },
                            type = { Open Source Dataset },
                            author = { fyp },
                            howpublished = { \url{ https://universe.roboflow.com/fyp-ersh3/fire-_rooster } },
                            url = { https://universe.roboflow.com/fyp-ersh3/fire-_rooster },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-03-01 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the fire _rooster project in your project.

Source

fyp

Last Updated

10 months ago

Project Type

Object Detection

Subject

fire

Classes

clear fire nf

Views: 121

Views in previous 30 days: 16

Downloads: 6

Downloads in previous 30 days: 0

License

CC BY 4.0