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AIDeM: Artificial Intelligence-based Dengue Mosquito Catching Device

Year: 2025

Type: article

Abstract: 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.

Source: Business, Education, Social Sciences, and Technology

DOI: 10.69478/best2025v1n2a032

Authors: Art Riguer Salmorin, Trixia Allana Dela Llave, Kent Francis Pon-An, Redjie Serilla, Gerard James Paglingayen, Genesis Canja, Sammy Militante

Institution: University of Antique

Language: English

Topic: Mosquito-borne diseases and control

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4413436938

FWCI:

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