Fire extinguisher detection Computer Vision Model
How to use the Fire extinguisher detection Detection API
Try This Model
Drop an image here or click to upload
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="fire-extinguisher-detection/3")Or, Use Free Fire-extinguisher Detection API
Powered by general detection model
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-extinguisher"
},
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
About Fire extinguisher detection Model
Here are a few use cases for this project:
-
Smart Building Safety Systems: Integrating the "Fire Extinguisher Detection" model into building security and monitoring systems to ensure that fire extinguishers are easily accessible, visible, and present in their designated locations. Regular monitoring would aid in maintaining safety standards.
-
Fire Emergency Response Enhancement: Assisting emergency responders like firefighters by providing real-time data on the location and availability of fire extinguishers within a building during a fire incident. This information could optimize response strategies and potentially save lives and property.
-
Maintenance and Inspection Automation: Facility management companies can utilize the model to automate the routine inspection process of fire extinguishers, ensuring that they are well-maintained and functional. This could streamline facility management tasks while improving overall safety.
-
Augmented Reality Apps for Safety Training: Incorporating the "Fire Extinguisher Detection" model into augmented reality (AR) applications to educate and train users on the proper use and handling of fire extinguishers. This would make safety training more engaging and effective.
-
Retail Store and Warehouse Safety Compliance: Retail chains and warehouses can use the model to ensure adherence to fire safety regulations, such as maintaining clear access to fire extinguishers in aisles and storage areas. This would promote compliance, workplace safety, and reduce fire hazards.
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ fire-extinguisher-detection_dataset,
title = { Fire extinguisher detection Dataset },
type = { Open Source Dataset },
author = { Projet 3A },
howpublished = { \url{ https://universe.roboflow.com/projet-3a/fire-extinguisher-detection } },
url = { https://universe.roboflow.com/projet-3a/fire-extinguisher-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2026-07-29 },
}