Deep Learning-Based Autonomous Firefighting Robot Car

Fire incidents pose significant risks to life and property. This research presents an AI-driven autonomous firefighting robot that integrates deep learning for fire detection, reinforcement learning for navigation, and an AI-powered suppression system. The robot uses thermal imaging, a CNN-based detection model, and real-time IoT communication for monitoring and decision-making. To improve sustainability, the system incorporates low-power AI chips, solar charging, and optimized water flow to minimize waste. Testing demonstrates 96% fire detection accuracy, 92% suppression success rate, and efficient navigation in real-time environments. Future enhancements include predictive AI for fire behavior modeling, swarm robotics for large-scale coordination, and edge computing for real-time decision-making