Development of a post-disaster response assistance system (podras) using drone/
Noelyn T. Bonza, Katalina Ravalo, Ahlleyczelle B. Simbulan, and Jimwell Sze.--
- xi, 112pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
Includes bibliographic references and index.
This study evaluates the Post-Disaster Response Assistance System (PoDRAS), a drone-based search and rescue (SAR) system integrating GPS tracking, thermal imaging, and real-time data transmission to enhance disaster response efficiency. The system was tested in urban and open-field environments under different lighting and signal conditions to assess autonomous functionality, imaging accuracy, and communication reliability. Optical imaging maintained sharp contrast in daylight but degraded (~600:1) at night, reducing visual clarity. Thermal imaging reliably detected body heat across all distances, though heat blending increased beyond 9 meters, affecting signature accuracy. The drone maintained GPS tracking within 1.5– 2.6 meters under optimal conditions, but signal fluctuations occurred in obstructed environments. Communication latency remained below 1 second in clear conditions but increased to 2.5–5 seconds in areas with high interference. Flight duration ranged from 3 to 10 minutes, depending on power consumption and navigation recalibration. The evaluation results confirm strong system performance, with functionality, reliability, efficiency, and maintainability rated as Highly Acceptable. The overall mean score of 4.52 indicates a Very Acceptable rating, reflecting high user satisfaction. Findings validate PoDRAS as a functional SAR tool, with limitations in low-light optical imaging, GPS interference, and power efficiency. Future improvements include zoom functionality for both cameras, battery optimization, and LiDAR integration for enhanced navigation and obstacle detection.
Drone technology Thermal imaging Communication latency