This paper presents an AI-based robotic system designed for human detection and environmental monitoring in earthquake- affected areas. Natural disasters like earthquakes lead to structural collapses, creating hazardous environments where traditional rescue methods often fail due to high risks to human rescuers. Traditional search and rescue methods involve human personnel entering unstable zones, a process that inherently delays assistance and places rescuers at extreme risk of injury or death.To address these challenges, the proposed system integrates a PIC microcontroller with a distributed sensor network, including TSOP sensors for survivor identification and a suite of environmental sensors including gas, fire, temperature, and vibration modules. Utilizing RF-based wireless communication, the robot can be remotely navigated through debris-filled terrains from a safe distance while providing constant real-time data to a central alerting unit. The system further includes an automated fire extinguishing unit to suppress small fires, enhancing the safety of both victims and rescue teams. By minimizing human exposure to unstable environments and providing a reliable, autonomous solution, this robot represents a significant advancement in disaster response and management.

The proposed smart earthquake rescue robot successfully integrates embedded systems and sensor fusion to enhance disaster recovery efforts. By utilizing a PIC16F877A mi- crocontroller and a distributed sensor network, the system provides a reliable method for locating trapped survivors while monitoring environmental hazards like gas leaks and fire. The inclusion of AI-based human detection via TSOP sensors ensures high accuracy in identifying IR signatures amidst complex debris. The RF-based communication link provides a stable wireless bridge for remote navigation, significantly reducing the risk to human rescuers. This project demonstrates that robotic intervention is a viable and necessary solution for improving safety and efficiency in post-disaster scenarios.

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