轻量级机器人自动搜寻并消灭蚊子滋生地
MosquitoMiner: A Light Weight Rover for Detecting and Eliminating Mosquito Breeding Sites
- 自研数据集训练，自主导航识别积水区域
- 精准喷洒化学剂，有效清除蚊子繁殖场所
- 适合城市病媒防控与公共卫生应急场景
本文提出一种新型自主式蚊子滋生地探测机器人MosquitoMiner，用于控制蚊媒疾病传播。传统防控手段效率低、响应慢，难以应对疫情快速扩散。本项目通过自研数据集训练，使机器人能沿预设路径自主导航，利用目标与障碍物检测能力识别潜在积水滋生地，并喷洒化学药剂进行清除。实验表明，该系统可高效定位并灭除蚊子繁殖场所，显著优于人工巡查和传统方法。项目代码已开源，可在GitHub获取：https://github.com/faiyazabdullah/MosquitoMiner。
原文摘要 · Abstract (English)
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
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