Abstract

The safety of railways, the nation's main transportation network, is currently drawing attention. This is mainly because of recent terrorist attacks aimed at private multipurpose facilities in a number of foreign countries. This article proposes a system for real-time monitoring of railway facilities and secure areas. Access control will be obtained using Raspberry Pi, an inexpensive micro-controller connected to the cloud via Amazon Web Service. Real-time surveillance is demonstrated by implementing computer vision and deep learning, and Twilio API. Intruders in restricted areas (such as tracks and electrical installations) can be detected with high precision and notifications can be sent to the safety and security managers in real time via short message service through cloud applications. The proposed system will assist the safety and security managers in responding swiftly and effectively to prevent or minimize risks that arise due to intruders.

摘要

铁路是全国主要交通网络，其安全性目前备受关注。这主要是因为最近针对一些外国私人多用途设施的恐怖袭击。本文提出了一种实时监控铁路设施和安全区域的系统。访问控制将使用 Raspberry Pi 获得，这是一种通过 Amazon Web Service 连接到云的廉价微控制器。通过实施计算机视觉和深度学习以及 Twilio API 来演示实时监控。可以高精度检测受限区域（如轨道和电气装置）的入侵者，并通过云应用程序通过短信服务实时向安全和安全管理人员发送通知。