MosquitoMiner: A Light Weight Rover for Detecting and Eliminating Mosquito Breeding Sites

TL;DR

MosquitoMiner is an autonomous rover designed to detect and eliminate mosquito breeding sites efficiently, combining object detection and chemical spraying to improve public health efforts against mosquito-borne diseases.

Contribution

This paper introduces a lightweight autonomous rover with custom dataset-based detection and elimination capabilities for mosquito breeding sites, enhancing traditional control methods.

Findings

Successful autonomous navigation and detection of breeding sites

Effective elimination of mosquito habitats through targeted spraying

Demonstrated potential for improved mosquito control efficiency

Abstract

In this paper, we present a novel approach to the development and deployment of an autonomous mosquito breeding place detector rover with the object and obstacle detection capabilities to control mosquitoes. Mosquito-borne diseases continue to pose significant health threats globally, with conventional control methods proving slow and inefficient. Amidst rising concerns over the rapid spread of these diseases, there is an urgent need for innovative and efficient strategies to manage mosquito populations and prevent disease transmission. To mitigate the limitations of manual labor and traditional methods, our rover employs autonomous control strategies. Leveraging our own custom dataset, the rover can autonomously navigate along a pre-defined path, identifying and mitigating potential breeding grounds with precision. It then proceeds to eliminate these breeding grounds by spraying a chemical agent, effectively eradicating mosquito habitats. Our project demonstrates the effectiveness that is absent in traditional ways of controlling and safeguarding public health. The code for this project is available on GitHub at - https://github.com/faiyazabdullah/MosquitoMiner