Image Centric Anti-Tampering Technique for AMI Smart Meter

Manurak Rattanasuttikan, Somchai Thepphaeng, C. Pirak
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Abstract

An additional anti-tampering is integrated to the smart meter unit to achieve more collectable evidences. A built-in high definition camera is another solution to accomplish still picture and video recording of an illegal person who approaches a smart meter to cheat electricity billing. In this paper, terminal cover opening, smart meter frame opening and electrical lines bypassing are three abnormal events that are investigated, in which the face detection of the person who stands in front of an Advanced Metering Infrastructure (AMI) smart meter will be detected and recorded. This action is performed by a separated camera controller unit inside smart meter. The Haar cascades algorithm is the important mechanism for face detection powered by Raspberry Pi3. The face detection process can be done for several face angles; therefore, the proposed system is sufficiently effective for realistic application, as shown in the experimental results.
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AMI智能电表图像中心防篡改技术
一个额外的防篡改集成到智能电表单元,以实现更可收集的证据。内置的高清晰度摄像机是另一种解决方案,可以完成非法人员接近智能电表欺骗电费的静态图像和视频记录。本文研究终端盖打开、智能表架打开和电气线路旁路三种异常事件,检测并记录站在AMI (Advanced Metering Infrastructure)智能表前人员的人脸检测。这个动作是由智能电表内部的一个独立的摄像头控制器单元执行的。Haar级联算法是基于Raspberry Pi3的人脸检测的重要机制。人脸检测过程可以对多个人脸角度进行检测;因此,实验结果表明,该系统在实际应用中是足够有效的。
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