Browsing by Author "Castillo Matamoros, Erick Alexander"

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    Sistema de detección de incendios basado en tecnología IoT y procesamiento de imágenes
    (Universidad de Cuenca, 2025-09-15) Castillo Matamoros, Erick Alexander; Chalco Montalván, Robert Sebastián; González Martínez, Santiago Renán
    This curricular integration project presents the development of an intelligent system for the early detection and warning of forest fires, motivated by the increase of these events in Ecuador during dry seasons such as those recorded in 2024. The system combines IoT technologies and image processing, integrating a digital camera, environmental sensors, a GPS module, 4G connectivity, and optimized algorithms to operate in real-time on low-cost hardware, adapted to rural or hard-to-reach areas. Fire detection algorithms based on color spaces and IA were implemented and evaluated, from which a hybrid solution emerged that combines Method 9 (YOLOv8) and Method 12 (PJF, RGB, and YCbCr chromatic spaces). This method was validated in a controlled environment under three representative conditions: high illumination, visual interference, and standard conditions, as described in Section 4.4. The system achieved outstanding metrics in high illumination, key in fires caused by drought, obtaining an ACC of 99.82 %, a TPR of 99.64 %, and a TNR of 100.00 %, as summarized in Table 5.4. Additionally, an air quality sensor was integrated to detect PM2.5 particles above 100µg/m³, which allowed for the validation of smoke presence and the reduction of false positives. The system operated with a consumption of 519.9mA, a CPU usage of 38.3 %, and a temperature below 39.3°C thanks to an automatic ventilation system, representing a reliable, precise, and scalable solution for the early detection of forest fires.