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Author ORCID Identifier

0000-0003-4815-5530

Corresponding Author

Venant Niyonkuru

niyonkuruvenant@gmail.com

Abstract

An augmented reality app is used for detecting the possible breeding locations of mosquitoes in different settings precisely. With the aid of the advanced augmented vision technology, the AR system recognizes water-containing containers that are frequent breeding places for mosquitoes according to the visual information obtained through a head-mounted display. It then overlays visual highlights and labels directly onto these containers within the user's field of view, allowing one to instantly identify and spot breeding sites in real time. By combining state-of-the-art AR functionality with powerful computer vision algorithms, the method provides real-time visual feedback for identifying and tagging mosquito breeding sites, thus enabling efficient prevention and control of mosquito infestation and spread of mosquito borne illness

Publication Date

2025

Publisher

JSS Academy of Higher Education & Research

Conflict of Interest

The authors declare that there are no conflicts of interest regarding this work.

Keywords

Augmented Reality, Computer Vision, Mosquito Breeding, Object Detection

Word Count

3200

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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