Design and Development of Human Detection Robot to Rescue People from Disaster Environment by using Internet of Things

In disaster-stricken environments, the rapid and efficient rescue of individuals is of paramount importance. This abstract presents a novel approach to enhance disaster response efforts through the development of a Human Detection Robot (HDR) designed to locate and rescue people in disaster-affected areas. The proposed robot integrates Light Dependent Resistors (LDR) and the HC-SR501 Passive Infrared (PIR) sensor to detect the presence of human beings in low-visibility and challenging environments. The Human Detection Robot is equipped with a robust mechanical structure and a combination of sensors, including LDRs and the HC-SR501 PIR sensor. LDRs are employed to detect variations in ambient light, while the PIR sensor is used to detect human body heat and motion. These sensors work together to ensure reliable and accurate human presence detection, even in environments with low light conditions or obstructions such as dust, smoke, or debris. The robot's design also includes a microcontroller unit (MCU), which processes sensor data and controls the robot's movements. The MCU enables real-time decision-making and navigation to reach and rescue individuals in disaster-stricken areas. The robot is equipped with a communication system that allows it to relay information to the disaster response team, providing them with crucial data about the location and condition of the people in need of rescue. The HDR's rapid response time, when coupled with its robust mechanical design and communication system, positions it as a game-changing asset in disaster management and search and rescue operations.