AIDeM: Artificial Intelligence-based Dengue Mosquito Catching Device
DOI:
https://doi.org/10.69478/BEST2025v1n2a032Keywords:
Aedes Mosquito, AIDeM, Raspberry Pi, YOLOv8, Artificial IntelligenceAbstract
Dengue, carried by Aedes Aegypti, has been a world problem that caused severe fevers and even death. This study uses the latest computing techniques and technologies, like YOLOv8, Raspberry Pi, MongoDB, and yeast-sugar mixture to make a machine that captures mosquitoes. YOLOv8 as the Artificial Intelligence integrated in Raspberry Pi works well in capturing and getting data from captured mosquitoes. Whereas MongoDB is sufficient for saving gathered data. However further improvements are needed on the machine for effective operation. Monitoring the cause of dengue, Ae. Aegypti is important to gather data on its behavior and changes.

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Copyright (c) 2025 Art Riguer Salmorin, Trixia Allana D. Dela Llave, Kent Francis Pon-An, Redjie Serilla, Gerard James B. Paglingayen, Genesis V. Canja, Sammy V. Militante (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.