Nurul Fahmi Arief Hakim, Alyani Ismail, Iwan Kustiawan, Deasy Rosanti, Taqiyuddin Yazid Zaidan
The rapid development of surveillance technology is readily apparent, particularly in monitoring vast and remote locations that present difficulties for human accessibility. Within the realm of contemporary surveillance methods, the utilization of Unmanned Aerial Vehicles (UAVs) has garnered a considerable amount of interest. The swift advancements in science and technology have led to the progressive incorporation of Artificial Intelligence (AI) technologies, particularly in tasks such as monitoring and reconnaissance. The results of this research contribute to the creation of a prototype for a UAV capable of conducting autonomous monitoring missions and integrating artificial intelligence technologies for real-time video processing. This study utilized an experimental methodology, and a Raspberry Pi was utilized for artificial intelligence processes integrated with the aircraft controller. During the decisive experiment, the unmanned aerial vehicle UAV could effectively travel to the designated area, reaching an accuracy of 78.6% in its AI processing. Copyright (c) 2025 IIUM Press. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Dept. of Electrical Engineering Education, Universitas Pendidikan Indonesia, Bandung, Indonesia; Wireless and Photonic Networks Research Center, Universiti Putra Malaysia, Serdang, Malaysia; Electrical Engineering Study Program, Politeknik TEDC, Bandung, Indonesia
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