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首页> 外文会议>IEEE International Conference on Cyberspac >Artificial Intelligence Autonomous Unmanned Aerial Vehicle (UAV) System for Remote Sensing in Security Surveillance
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Artificial Intelligence Autonomous Unmanned Aerial Vehicle (UAV) System for Remote Sensing in Security Surveillance

机译：用于安全监测中遥感的人工智能自主无人驾驶飞行器（UAV）系统

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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.
机译：适应人工智能自治系统需要基于自治系统固有的策略强制和自我确定的自主程序的知识基于关键优先级函数的策略规范，策略执行和策略管理。在目前的研究中，尝试模拟自主无人驾驶空中车辆（UAV）系统，以便能够在尼日利亚地理空间内的博奥拉姆和匪徒的升级中升级升高的森林地区内的人类。自主人工智能无人机设计利用激光范围探测器设计，以实现极其准确的精确度评价和途径。虽然无人机徘徊在附近，但它建立了周围的个性化的3D地图。本研究的中心目标是探讨用于人工智能无人驾驶飞行器（无人机）的科学机会，这些空中航空公司（无人机）在物联网上建模的机器学习（卷积神经网络） $（ mathbf {iots} ）$ 框架并适应它，彻底改变环境和遥感，安全监测，救援和搜索任务的使命。本文确立了尼日利亚安全部队可以采用人工智能无人机在乍得盆地湖泊中的恐怖分子，其中博克拉姆叛乱和匪徒普遍存在。本文进一步突出显示，除了安全部队的搜救使命，无人机可能非常有助于。

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