This project explores leveraging edge computing and cloud integration for remotely operating autonomous UAVs. By processing data closer to the source on edge devices, the system reduces latency, enhances real-time decision-making, and improves UAV efficiency in complex missions. The integration with cloud systems provides scalable storage and computational resources, enabling advanced functionalities like AI-driven navigation, obstacle avoidance, and fleet coordination. This approach ensures reliable and low-latency communication, making it ideal for applications in surveillance, delivery, disaster management, and industrial automation. The system addresses challenges in connectivity, data processing, and operational efficiency for UAV networks. We have done object detcetion, closed based autonomous navigation control.
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