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_aLei Jan L. Ereno, Kamylle Feleen T. Mateo, Sophia Marie T. Miranda, Maria Kayla G. Pineda.
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_aA Semi-Autonomous search and rescue mobot for victim localization in earthquake operations.
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_aUndergraduate Thesis : (Bachelor of Science in Electronics Engineering) - Pamantasan ng Lungsod ng Maynila, 2024.
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_aABSTRACT: The Philippines, situated in the Pacific Ring of Fire, is particularly vulnerable to disasters, especially earthquakes. During earthquake response operations, Search and Rescue (Sar) teams and victims face significant dangers due to aftershocks and hazardous environmental conditions. This study developed a SaR mobot with IR night vision, person detection, GPS and BLE-based victim localozation, and audio communication for earthquake response. Its mobility is facilitated by tracked wheels, a linear actuator, a dual motor driver, and two DC gear motors, and it can be remotely controlled utilizing 433 MHz KoRa. This study uses the TensorFlow Lite machine learning algorithm for person detection with an accuracy of 0.87, a precision of 0.92, and a recall of 0.92. Its frame rate has a mean of 4.17 FPS. The SaR mobot provides precise victim localization using BLE beacons for indoor relative positioning and GPS for outdoor positioning. Additionally, environmental conditions are accurately monitored using DHT22 and MQ-5 sensors. The operator can access gas, temperature, humidity readings, GPS coordinates, and real-time videp footage via a web server with a mean latency of 2.77 seconds. In conclusion, this study successfully met its objectives and demonstrated the optimal performance of the SaR mobot for earthquake response operations.
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