Virtual Booth

As the drone increasingly supports critical operation across different industries like disaster management environmental monitoring and emergency response so it will ensure their safety and reliability becomes paramount. Despite technological advances, midair failures and loss of communication and crash landing still exist and are one of the major challenges. This project proposes comprehensive Drone health monitoring and an emergency response system that is designed to address these risk. The system integrates real-time telemetry monitoring, AI assisted with decision making and autonomous fail-safe interventions such as the parachute deployment system, A modular and lightweight design that was achieved by combining a Pixhawk flight controller and raspberry pi and ESP82699 microcontroller and a custom-built Graphical user Interface (GUI) for remote monitoring and control. The project features key innovation, it includes robust drone circuitry, an intelligent parachute deployment system and shock-absorbing landing gear and real time safe landing zone that is detected by using an AI system on the raspberry pi. Testing confirmed the system ability to autonomously detect failure like or for example as if one of the motors stop working environmental risks and perform emergency landing and by combining machine learning and telemetry and the real time visualization the system significantly improves the drone safety and offers a scalable solution for future drone operations.