Artificial Intelligence Autonomous Unmanned Aerial Vehicle (UAV) System for Remote Sensing in Security Surveillance

Abstract

Adapting artificial intelligence autonomous systems required a policy specification, policy enforcement and policy management on the key prioritized functions based on the inherent policy enforcement and self-definitive programmed knowledge by an autonomous system. In the current research, attempt was made to model an autonomous unmanned aerial vehicle (UAV) system to be able to detect humans within the thickest forest region amidst the escalating tension of bokoharam and bandits abductions within the Nigeria geographic space. The autonomous artificial intelligence UAVs was designed using laser-range detectors for location evaluation and pathway finding with very accurate precision. While the UAVs hovers in the neighborhood, it establishes an individualized 3-D map of its surrounding. The central objective of this study is to explore the scientific opportunities available for artificial intelligence unmanned aerial vehicle (Drones) modeled with machine learning (convolution neural network) on Internet of Things $(\mathbf{IoTs})$ framework and adapt it to revolutionize the mission on environmental & remote sensing, security surveillance, rescue and search mission. The paper established that Nigeria security forces could adopt artificial intelligence UAV to extradite terrorists within the Lake Chad Basin where bokoharam insurgency and banditry are prevalent. The paper further highlight that UAV could be very instrumental in search and rescue mission by the security forces.