MosquitoMiner is an innovative solution designed to autonomously detect and eliminate mosquito breeding sites, reducing the risk of mosquito-borne diseases. This project combines advanced robotics, computer vision, and machine learning to create a light-weight rover that can navigate through various terrains, identify potential breeding grounds, and apply targeted treatments to disrupt the mosquito lifecycle.
YouTube Video Link - https://youtu.be/UL2HmXnCcOk
Pre-print Link - https://arxiv.org/abs/2409.08078
Paper Presentation - https://youtu.be/VjfZQ4wg4fo?si=WBSI9N_KYwfv1qSb
- Autonomous Navigation: Equipped with GPS and sensor-based guidance systems to navigate complex environments.
- Mosquito Detection: Utilizes computer vision and AI to accurately identify mosquitoes and their breeding sites.
- Targeted Treatment: Applies eco-friendly treatments to specific areas, minimizing environmental impact.
Explore the MosquitoFusion dataset on Kaggle: MosquitoFusion
This project is licensed under the MIT License - see the LICENSE file for details.
For any queries, please contact us at msayeedi212049@bscse.uiu.ac.bd