Remote Rescue Vehicle

Abstract

Search and rescue operations in collapsed buildings provide crucial challenges due to the complexity of the environment and the need for information about trapped individuals. This document presents a versatile system equipped with various sensors, including LiDAR, temperature, GPS, GSM, and Wi-Fi modules, designed to assist rescue teams. The system data collection capabilities include high-quality video, audio, and image formats that supplement situational awareness. The LiDAR sensor is used to create detailed 3D models and identify potential hazards and obstacles. The thermal sensor helps in the detection of temperature signatures and enables the identification of surviving or overheated machines. Additionally, the integration of the YOLO algorithm enables real-time object classification, providing critical insights for faster decision-making.  The GSM module enables communication with the system. The Wi-Fi module enables high-speed data transmission to ensure that the collected information is quickly transmitted to the rescue team. High-quality video, audio, and image formats offer comprehensive situational awareness, support decision-making, and improve overall operational efficiency.