FIRE DETECTION FROM IMAGE (PRODUCT)

Developed a fire detection model using TensorFlow & Keras, identifying fire or non-fire conditions in images.

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Description

Safety Intelligence

This automated hazard detection system is designed to identify active fire and smoke signatures within static images. Utilizing a deep learning approach, the model acts as a first line of defense for monitoring systems.

Architectural Specs

  • Architecture: Custom Convolutional Neural Network (CNN) with Dropout layers to minimize false positives in sunset or orange-light conditions.
  • Binary Classification: Output indicates [Fire] vs [No Fire] with a high confidence score.
  • Processing Speed: Highly optimized for mobile and low-power edge devices.

Deployment Benefits

Ideal for integration into IoT security cameras, forest monitoring drones, and industrial warehouse surveillance where early warning is critical.

Live Deployment Sandbox

Live Deployment Sandbox
Online
Click to browse or drop an image here

API Integration Guide

curl --location 'https://api.aimodelplace.com/api/v1/predict' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--form 'model_slug="fire-detection-from-image_8"' \
--form 'file=@"/path/to/your/image.png"'

Successful response format (JSON):

{
    "success": true,
    "latencyMs": 43,
    "predictions": [
        {
            "label": "Fire",
            "confidence": 0.98
        }
    ],
    "tokens_consumed": 1,
    "balance_remaining": 578,
    "recognized_object": "Fire"
}

For more detailed parameters and SDK examples, visit our Full API Documentation.

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