AI-Enhanced Unmanned Aerial Vehicles for Search and Rescue Operations

被引:4
作者
Farsath, Rashida K. [1 ]
Jitha, K. [1 ]
Marwan, Mohammed V. K. [1 ]
Jouhar, Muhammed Ali A. [1 ]
Farseen, Muhammed K. P. [1 ]
Musrifa, K. A. [1 ]
机构
[1] MEA Engn Coll, Dept Comp Sci & Engn, Malappuram, India
来源
2024 5TH INTERNATIONAL CONFERENCE ON INNOVATIVE TRENDS IN INFORMATION TECHNOLOGY, ICITIIT 2024 | 2024年
关键词
Artificial Intelligence; Unmanned Aerial Vehicles; Sensor Technology; Image Recognition Algorithms; Autonomous Navigation; Search and Rescue Operations; Emergency Response; Human-Machine Collaboration; Drones; Machine Learning; Deep Learning; Data Privacy; Ethics; IOT Sensors; Video analytic; IoT; Random Forest; Restricted Boltzmann Network; Auto encoder; Intrusion Detection System; Smart City;
D O I
10.1109/ICITIIT61487.2024.10580372
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces a cutting-edge AI-empowered Unmanned Aerial Vehicle (UAV) system, enriched with stateof-the-art sensor technology, advanced image recognition algorithms, and autonomous navigation capabilities. The system represents a transformative approach to search and rescue operations, offering unparalleled precision and rapid response times. Our methodology encompasses multifaceted data collection techniques, including surveys, interviews, data mining, Internet of Things (IoT) sensors, and sophisticated video analytics. Machine learning and deep learning models are then applied to process and analyze this data, enabling real-time image recognition for precise target identification. The system's AI-driven autonomous navigation algorithms optimize mission planning, resulting in significantly reduced response times and heightened mission success rates. Extensive real-world tests and simulations validate the exceptional performance of the proposed AI-empowered UAV system. These tests underscore its capacity to expedite emergency response efforts in dynamic and challenging environments. In parallel, this paper addresses critical ethical considerations, ememphasizing responsible data handling practices, and robust security measures to ensure the system's integrity in sensitive contexts. As exemplified through a compelling case study of successful rescue operations, this technology represents a groundbreaking advancement in the field. By bridging the gap between cutting- edge technology and life-saving applications, it holds the potential to redefine the landscape of search and rescue missions, ushering in an era of heightened efficiency, precision, and impact.
引用
收藏
页数:9
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