Fire Detection System Using Computer Vision & Deep Learning

A smart Fire Detection System using Computer Vision and Deep Learning techniques to detect fire and smoke in images or real-time video streams with high accuracy.

The project includes:

* Data preprocessing and augmentation

* Training and optimizing deep learning models

* Fire/smoke detection using CNN or YOLO models

* Real-time detection support using OpenCV

* Performance evaluation and accuracy optimization

* Clean and well-documented source code

The system can be used for:

* Smart surveillance systems

* Industrial safety monitoring

* Forest fire detection

* Early warning and emergency response systems

Technologies:

Python, TensorFlow/PyTorch, OpenCV, YOLO, Computer Vision, Deep Learning.