Design and Development of a Smart Mosquito Elimination System Using Yeast-CO2 Simulation and UV-A Attraction
Year: 2026
Type: conference-paper
Abstract: Mosquito-borne diseases continue to pose a major When mosquitoes carry diseases, they pose an ongoing global health threat and therefore require constant attention. The risk is greatest in both tropical and subtropical settings where explosive reproduction occurs rapidly and swathes of tropical and subtropical areas are the most dangerous breeding grounds for these pests. These traditional methods are typically reliant on the use of insecticides (e.g. sprays, coils, and repellents), which expose us to the potential for adverse health effects, contamination of the environment, and decreased efficiency over time. The new approach is to utilize bio-inspired methods of attracting mosquitoes as well as using embedded system automation, together with the creation of a bio-inspired method for eliminating mosquitoes and creating a safer chemical-free alternative. The proposed methodology consists of a closed loop system in which we pull mosquitoes toward us using an ultraviolet light combined with controlled simulated CO2 (exhaled breath) emitted through a humidifier. The mosquitoes that we pull in are then pulled through a vacuum created by a suction fan, and then eliminated against a high voltage mesh. An ESP32 microcontroller coordinates system operation by controlling humidifier timing, power distribution, and system safety, while ensuring low power consumption and electrical isolation between control and high-voltage sections. The results of experiments completed indoors show how well mosquitoes have been attracted and trapped using this system, especially in the dark. The compactness of the design, low cost, minimal maintenance requirements, and use of no toxic chemicals make this system a good solution for use in homes and for public health purposes. The proposed embedded systems show the promise of combining technology and nature to develop environmentally friendly, sustainable methods.
Institution: Vardhaman College of Engineering
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204153893