Software Reliability Analysis with Various Metrics using Ensembling Machine Learning Approach

Abstract

In recent years, there has been an increasing need for remote surveillance and monitoring of our boundary. Nowadays, it is a difficult duty for military to monitor international border regions. Our goal is to incorporate robots in military security systems in order to provide the highest level of protection, since robotics are being adopted by all fields in order to enhance current systems. In this study, we propose a surveillance robot that is capable of monitoring and identifying intrusions near international boundaries. As a result, the surveillance robot is programmed to automatically identify border intruders and notify surrounding security staff through Internet of Things video streaming. When motion is detected, the Raspberry Pi 3 Model B, which is in charge of the bot’s computer, is programmed to turn on the camera so that it may transmit live footage. Moreover, an infrared sensor is used to detect obstructions and avoid collisions. The raspberry pi camera is connected to a microcontroller that keeps watch over the premises and sounds an alarm if an intruder is spotted. Enabling WiFi enables the Internet of Things to be used for the surveillance robot’s transmission function. The camera footage may be analysed from any Internet-connected place due to Raspberry Pi’s live streaming capability. As the IoT module serves as both the transmitter and receiver, the node’s footprint, price tag, and level of complexity are all reduced. To that purpose, this project proposes using a surveillance robot running the Raspbian operating system.