Hybrid Model for Robotic Surveillance using Advance Computing Techniques with IoT

The primary purpose of this research is to design and construct a surveillance robot with the potential to reduce the number of people killed in combat. The Internet of Things (IoT) technology is utilised to tackle the issues that arise from directing the movement of the robot through short-range communication. The movement of the robot may be controlled from almost any location in the globe using an Android smartphone. This research work is divided into five different phases: manually running the robot via the use of IoT technology; automatically controlling the robot through the use of an Android device or a personal computer; Wireless Streaming live video captured by a night vision camera equipped with audio, advanced computational capabilities, and metal detecting sensors. The execution will begin as soon as the metal detector and the advanced computer sensors identify the robot and cause it to stop moving. These days, the remote monitoring and surveillance of the homes is more important than ever before. Additionally, the camera is equipped with a face recognition technology that enables it to identify the person whose motion was detected and prompted the camera's activation. The in-vehicle voice assistant will start a conversation with the caller if they are approved to use the system. It is only when there is an unauthorised person present that a notification will be delivered. Along with the notice, a live webcam broadcast will begin, and it will also contain photographs of the intruder. The participants in this research are being monitored using Internet of Things (IoT)-based robots that make use of an Arduino UNO microcontroller. These robots may be controlled by a computer or a smartphone. The objective is to design a remote-controlled spy car that is capable of carrying out continuous surveillance in hostile conditions. The robot is equipped with a wireless camera, which enables it to collect real-time streaming throughout the day as well as during the night. The user will physically control these robot movements in order to operate them. Because of this robot, the amount of human contact that occurs in a hazardous location that requires constant monitoring and safety measures is instantly decreased. An advanced computer sensor, an ultrasonic sensor, and a gas sensor, each of which is linked to an Arduino board, make up the whole of the system. The board also serves as the connection point for the other sensors. An Android application may control the navigation of the robot from a distant location by using WiFi connection. In the event that a person gets buried under a structure as a result of a natural disaster like as an earthquake, the sophisticated computer sensor that the robot has may be used to locate them.