In 2021 alone, Statistics Canada reported 15,395 indoor fires, emphasizing the urgent need for better fire detection and response systems.
Not all fires are the same:
- Water can worsen grease fires
- Electrical fires require specific extinguishers
However, studies show that over 60% of people do not know which extinguisher to use in an emergency. This lack of awareness increases the risk of injuries and fire spreading.
💡 Our goal? A system that not only detects fire but also classifies it and provides instant, accurate response instructions to prevent further damage and save lives.
Dataset: Curated and preprocessed fire-related images obtained from Roboflow for accurate detection.
Computer Vision: Used YOLOv8 to train a model for fire classification.
Real-Time Processing: Raspberry Pi + camera + servo motor scanning for fire outbreaks.
Recommendation System:
- Detects fire & identifies its type.
- Provides real-time safety instructions on the appropriate extinguishing method.
- Delivers guidance via speaker to help users act immediately and correctly.
🚀 FlameGuard - See the Fire, Know the Fight 🔥