• Autonomous IoT Drone System: A fully functional autonomous IoT drone system capable of detecting and accurately recording GPS coordinates of objects of interest within 5 meters of an unknown location.
• Transfer Learning and Machine Learning Models: Transfer Learning and Machine learning models for real-time object detection and recognition, achieving a minimum accuracy of 95%.
• navigation Algorithms: Grid-based navigation algorithms and obstacle avoidance mechanisms to ensure safe and efficient autonomous movement.
• Documentation: Comprehensive project documentation, including system specifications, design documents, user manuals, and technical reports.
• Testing Data: Data collected during testing, including sensor readings, object detection results, and GPS coordinates for further analysis.
• Performance Parameters:
o Achieve a minimum accuracy rate in image and video analysis, ensuring reliable and accurate assessments.
o Prioritize optimizing power consumption and minimizing data usage to accommodate scarce resources in remote areas.
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