final fire project Computer Vision Model

byBRAC UniversityTask:
Object Detection
License:Public Domain479 views30 downloads

How to use the final fire project Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="final-fire-project/4")
Give your agent everything it needs

Or, Use Free Fire, Fire and Smoke Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "Fire, fire, smoke, people, Human"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

About final fire project Model

Here are a few use cases for this project:

  1. Fire Detection and Alert Systems: This model can be used in security cameras or IoT devices to automatically detect and send alerts about any smoke or fire in homes, offices, or forest areas, assisting in quick fire response measures.

  2. Emergency Response Training: The model can be employed in simulation and training exercises for emergency responders, such as firefighters, to familiarize them with various conditions including fire, smoke, and the presence of people, thus boosting their emergency response skills.

  3. Video Monitoring in Hazardous Areas: The model could be used to monitor video feeds in high-risk locations such as mines, chemical plants, or manufacturing facilities, providing real time alerts in case of smoke or fire, and identifying anyone in the vicinity who might be in danger.

  4. Film and Animation - Scene Classification: In film production, this model could be useful in categorizing scenes based on fire/smoke/no-fire classes. It could help editors and directors find specific scenes quickly during the post-production phase.

  5. Safety Training in Schools and Organizations: The model can be used to develop interactive safety training applications where participants have to identify possible fire hazards and evacuate people. Such applications will help improve the participants' ability to handle real-world emergency situations.

Cite This Project

LicensePublic Domain

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ final-fire-project_dataset,
  title = { final fire project Dataset },
  type = { Open Source Dataset },
  author = { BRAC University },
  howpublished = { \url{ https://universe.roboflow.com/brac-university-uuemy/final-fire-project } },
  url = { https://universe.roboflow.com/brac-university-uuemy/final-fire-project },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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