Providing security to the citizens is one of the most important and complex task for the governments around the world which they have to deal with. Street crimes and theft are the biggest threats for the citizens and their belonging. In order to provide security, there is an urgent need of a system that is capable of identifying the criminal in the crowded area. This paper proposes a facial recognition system using Local Binary Patterns Histogram Face recognizer mounted on drone technology. The facial recognition capability is a key feature for a drone to have in order to find or identify the person within the crowd. With the inception of drone technology in the proposed system, we can use it as a surveillance drone as well through which it can cover more area as compared to the stationary system. As soon as the system identifies the desired person, it tags him and transmits the image along with the co-ordinates of the location to the concerned authorities using mounted global positioning system. Proposed system is capable of identifying the person with the accuracy of approximately 89.1%.

中文翻译：

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基于无人机技术的防盗监控应用LBPH人脸识别系统人脸识别系统

为公民提供安全是世界各国政府必须处理的最重要和最复杂的任务之一。街头犯罪和盗窃是公民及其归属感的最大威胁。为了提供安全性，迫切需要一种能够在拥挤区域识别罪犯的系统。本文提出了一种使用安装在无人机技术上的局部二进制模式直方图人脸识别器的人脸识别系统。面部识别功能是无人机在人群中寻找或识别人的关键功能。随着拟议系统中无人机​​技术的出现，我们也可以将其用作监视无人机，与固定系统相比，它可以覆盖更多区域。一旦系统识别出所需的人，它就会给他贴上标签，并使用安装的全球定位系统将图像和位置坐标一起传输给有关当局。提议的系统能够以大约 89.1% 的准确度识别人员。