Building Fire & Smoke Detection with OpenCV, Keras, and CNN

Learn how to build fire and smoke detection systems using OpenCV, Keras, and Convolutional Neural Networks
4.63 (20 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Building Fire & Smoke Detection with OpenCV, Keras, and CNN
2,442
students
2.5 hours
content
Apr 2024
last update
$29.99
regular price

What you will learn

Learn how to build fire detection system using OpenCV

Learn how to train fire detection model using Keras and Convolutional Neural Network

Learn how to build smoke detection system using OpenCV

Learn how to train smoke detection system using Keras and Convolutional Neural Network

Learn how to create alarm using gTTS

Learn how to integrate alarm to fire & smoke detection systems and make it ring whenever fire or smoke is detected

Learn the basic fundamentals of fire and smoke detection system, such as getting to know its use cases, technical limitation, and technologies that will be used

Learn how fire and smoke detection systems work. This section will cover data collection, data preprocessing, model training, model deployment, output detection

Learn how to open webcam using OpenCV

Learn how to play video using OpenCV

Learn how to find and download fire and smoke dataset from Kaggle

Learn how to conduct performance testing on fire and smoke detection systems

Screenshots

Building Fire & Smoke Detection with OpenCV, Keras, and CNN - Screenshot_01Building Fire & Smoke Detection with OpenCV, Keras, and CNN - Screenshot_02Building Fire & Smoke Detection with OpenCV, Keras, and CNN - Screenshot_03Building Fire & Smoke Detection with OpenCV, Keras, and CNN - Screenshot_04
5908472
udemy ID
4/4/2024
course created date
4/9/2024
course indexed date
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