DESIGN AND IMPLEMENTATION OF AN EARTHQUAKE VICTIM SEARCH SYSTEM WITH VIDEO STREAMING AND PATH TRACKING BASED ON RASPBERRY PI 4

• Main Author: Glenn Manurung, Nicholas
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/82145
• Institution: Institut Teknologi Bandung

Earthquakes are one of the natural disasters that can cause significant damage to infrastructure and buildings, posing major challenges in the process of evacuating victims. Rescuing victims from building debris requires effective strategies and supporting technology to be carried out quickly and accurately. In this research, the authors developed an earthquake victim search system based on Raspberry Pi 4, equipped with video streaming and path tracking features. This system is designed to provide real-time visual information about the surrounding environment and the paths taken by the search device, which is then conveyed to the rescue teams outside the disaster area. With this information, rescue teams can more easily determine the location of victims and plan optimal evacuation routes. The system developed by the authors uses Raspberry Pi 4 as the control center and WiFi signal transmitter. With the ability to function as an independent access point, Raspberry Pi 4 can create its own WiFi network without requiring an internet connection. This is crucial in post- disaster situations where communication infrastructure is often damaged or unstable. The effective range of this access point reaches up to 40 meters indoors, with sufficient throughput for data communication needs during rescue operations. At a distance of 15 meters, the download and upload speeds reach 0.47 MBps and 0.54 MBps, respectively, meeting the requirements for real-time video streaming and path tracking data transmission. This allows rescue teams to monitor field conditions directly and provide accurate instructions to search devices in the field. The system also includes an intuitive web interface, allowing operators to simultaneously monitor environmental conditions and the movement paths of the devices. This interface displays live video streaming and a path map in a single integrated page, making it easier for operators to make quick and accurate decisions in critical situations. Additionally, the system is equipped with features to save the coordinates of victim locations marked by the operator, providing valuable information for rescue efforts. The implementation of this system involves various technical aspects, including network configuration, access point setup, and data processing algorithms to ensure the accuracy and reliability of the information conveyed. With a user-friendly interface, operators can easily mark victim locations and save this data for further reference. Testing results show that this system can operate well in simulations of post-earthquake building debris conditions. Adequate communication range and video streaming quality that meets the minimum standards for object recognition make this system a practical and effective solution in assisting rescue teams. With the ability to operate without reliance on an internet connection and provide real-time visual information, this system can enhance the efficiency and effectiveness of rescue operations in the field. The system has been tested in various environmental conditions to ensure it functions well in real situations. These tests include range testing, data transfer speeds, and connection stability in various signal interference conditions. Overall, the development of this system offers significant contributions to disaster rescue technology, particularly in the search and evacuation of earthquake victims. With the integration of advanced technology such as Raspberry Pi 4 and field operational support features, this system can become a highly useful tool in emergency situations. Additionally, the system's ability to operate independently without relying on internet infrastructure that may be damaged post-disaster makes it a reliable and practical solution. Through this research, the authors hope to provide a meaningful contribution to future earthquake victim rescue efforts, helping rescue teams to work more effectively and efficiently, and ultimately saving more lives.