The Main objective of this paper is to reduce human life risk in terrorist attacks. This is real time intelligent robot has been designed to handle such a cruel terror attacks. This real time intelligent robot is operated with radio signals, self-powered, and has all the controls like a normal vehicle. A wireless camera and laser gun has been installed on it, so that we can monitor enemy remotely when required. It can easily enter into enemy premises and show us all the information from its Camera. This smart robot can be used in hotels, shopping malls, apartments, etc where there can be threat from terrorist attacks. These robots can fight against terrorists in war areas such that reduce work burden for security guards and save the human life and property damages.

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These days, the oil industrial industry is leaning toward employing smart field improvements to streamline various activities in the midstream area. Oil transportation over large distances via pipelines has a cheap cost and high efficiency in this sector. If pipelines are not properly maintained, they may fail, potentially causing catastrophic, long-term, and irreversible consequences on both natural and human conditions. Low power wide area networks (LPWANs) are without a doubt one of the domains that cause the most from industrial fields when it comes to realizing the vision of the internet of things (IoT). Long-range (LoRa) is an emerging LPWAN technology that is particularly useful for transmitting data over long distances. The goal of this work is to offer a methodology for managing oil pipelines over long distances utilizing the LoRa communication protocol and the installation of sensor nodes and LoRa gateways along the pipeline. We also used the optimized network engineering tools (OPNET) simulator to examine various simulation findings of LoRa performance.