Automatic Controlled Robotic Car Based on Node MCU for Real-Time Obstacle and Explosive Detection

Automatic vehicles have significant challenges when it comes to detecting and avoiding obstacles in real-time. By considering hardware, software, and communication settings, this study shows the design and implementation of a robotic automobile that can recognize and avoid obstacles in real-time. Robotic vehicles that are programmed to drive themselves utilizing platform-based sensors are detailed in this research. Working together, an Android-based smartphone and this automated gadget are developed. The Arduino Uno has functioned as the robot's central processing unit. The robot is comprised of a multitude of hardware components, such as buzzers, infrared sensors, ultrasonic sensors, and Bluetooth modules. It also contains the software component that is used by mobile applications. Through a smartphone app, the driver of the autonomous vehicle may choose the desired route or driving mode and then order the vehicle to follow it. The robot may be set to work in conjunction with your smart device, or it can be just left in autonomous mode so it will go where it wants to go. Consequently, the robot can detect life and get away from the obstacle. The purpose of this paper is to alert both military and civilian personnel to the possibility of terrorist attacks, with a focus on those branches of the military that have live, detectable sensors.