Nguyen Minh T, Truong Linh H, Le Trang T H
Thai Nguyen University of Technology, Viet Nam.
National Tsing Hua University, Taiwan.
MethodsX. 2021 Jul 27;8:101472. doi: 10.1016/j.mex.2021.101472. eCollection 2021.
With the advancement of science and technology, the combination of the unmanned aerial vehicle (UAV) and camera surveillance systems (CSS) is currently a promising solution for practical applications related to security and surveillance operations. However, one of the biggest risks and challenges for the UAV-CSS is analysis, process, and transmission data, especially, the limitations of computational capacity, storage and overloading the transmission bandwidth. Regard to conventional methods, almost the data collected from UAVs is processed and transmitted that cost huge energy. A certain amount of data is redundant and not necessary to be processed or transmitted. This paper proposes an efficient algorithm to optimize the transmission and reception of data in UAV-CSS systems, based on the platforms of artificial intelligence (AI) for data processing. The algorithm creates an initial background frame and update to the complete background which is sent to server. It splits the region of interest (moving objects) in the scene and then sends only the changes. This supports the CSS to reduce significantly either data storage or data transmission. In addition, the complexity of the systems could be significantly reduced. The main contributions of the algorithm can be listed as follows;-The developed solution can reduce data transmission significantly.-The solution can empower smart manufacturing via camera surveillance.-Simulation results have validated practical viability of this approach.The experimental method results show that reducing up to 80% of storage capacity and transmission data.
随着科学技术的进步，无人机（UAV）与摄像头监控系统（CSS）的结合目前是安全和监控操作相关实际应用的一个有前景的解决方案。然而，无人机 - 摄像头监控系统面临的最大风险和挑战之一是数据的分析、处理和传输，特别是计算能力、存储以及传输带宽过载的限制。对于传统方法，几乎从无人机收集的数据都要进行处理和传输，这会消耗巨大能量。一定量的数据是冗余的，无需处理或传输。本文基于人工智能（AI）数据处理平台，提出一种高效算法来优化无人机 - 摄像头监控系统中的数据传输与接收。该算法创建初始背景帧并更新为完整背景，然后发送到服务器。它分割场景中的感兴趣区域（移动物体），然后仅发送变化部分。这有助于摄像头监控系统显著减少数据存储或数据传输。此外，系统的复杂度也可显著降低。该算法的主要贡献如下： - 所开发的解决方案可显著减少数据传输。 - 该解决方案可通过摄像头监控助力智能制造。 - 仿真结果验证了此方法的实际可行性。实验方法结果表明，存储容量和传输数据最多可减少80%。
