An IoT based Intelligent Cargo Carrier

An IoT Based Intelligent Cargo Carrier is a type of autonomous robot that can follow a line or path, typically using sensors and programming to detect and respond to changes in the line. Additionally, using pressure sensor, heat sensor, position sensor, and vibration sensor can be designed and developed to follow a designated line with precision and accuracy. The problem statement for An IoT Based Intelligent Cargo Carrier is having the overload of the robot, Sensor calibration, the robot should be able to move forward, backward, turn left, and turn right while following the line accurately and quickly. The robot should also be able to detect intersections and make decisions accordingly, such as turning or stopping. The design should be compact and portable, with a power-efficient system and durable components. Additionally, the robot should be easy to assemble, program and operate, with a user-friendly interface. The main goal is to create a reliable and efficient robot that can navigate through a predetermined path autonomously. The combination of these sensors can provide the robot with information about the environment and the position of the line, making it possible for it to follow the line without deviation. The pressure sensor can detect changes in pressure, which can be used to determine the location of the line on the ground. The heat sensor can detect the temperature of the surface, which can be used to determine the colour of the surface and the location of the line. The position sensor can detect the position of the robot relative to the line, while the vibration sensor can detect the vibrations caused by the movement of the robot over the surface. Using this combination of sensors, the robot can determine the position of the line and adjust its movement accordingly to maintain a consistent path. The pressure and heat sensors can also be used to detect obstacles or changes in the environment, allowing the robot to adjust its movement to avoid them. The output signals from each sensor may be processed and combined in different ways to control the robot’s movement. The final outcome of the robot may include information about the robot’s location and orientation, as well as any detected obstacles or changes in the surface texture. The information may be displayed on a screen or transmitted wirelessly to a remote device for monitoring and control. Additionally, the robot may be programmed to respond to certain stimuli or conditions detected by the sensors, such as stopping or changing direction if an obstacle is detected or adjusting speed based on surface characteristics.