The Fire Detection and Alert System with Neural Networks introduces an innovative approach to early fire detection using computer vision. By leveraging neural networks, the system analyzes visual cues such as smoke and flames in real-time camera feeds to swiftly identify potential fire incidents. This project aims to enhance public safety in environments such as buildings, industrial facilities, and forests, providing timely alerts for efficient evacuation and fire response.
Software Requirements :-
- Operating System: Win 7 or more
- Programming Language: Python
Hardware Requirement :-
- Processor-i3
- Hard disk-5GB
- Memory-2GB RAM