Automated Identification of Mosquitoes using acoustic signals
Mosquitoes are considered to be among the biggest disease spreading flying insects causing worldwide health hazards. In Pakistan, Dengue fever is an infectious viral disease transmitted through the bite of infected Aedes aegypti and Aedes albopictus female mosquitoes. Ma
Project Title
Automated Identification of Mosquitoes using acoustic signals
Project Area of Specialization
Project Summary
Mosquitoes are considered to be among the biggest disease spreading flying insects causing worldwide health hazards. In Pakistan, Dengue fever is an infectious viral disease transmitted through the bite of infected Aedes aegypti and Aedes albopictus female mosquitoes. Manual identification of dengue mosquito is hard and dangerous leading to severe health risks. In this project, we are proposing an automated system that is able to identify aedes species that is the dengue causing mosquitoes species among Anopheles and Culex species using the acoustic recordings of their wingbeat frequency. We will demonstrate the proposed approach on a standard dataset and compare it to human annotations to determine accuracy.
Project Objectives
- Identify mosquitoes species using their sounds
- Help setup acoustic traps for dangerous mosquitoes
- Identify dengue and malaria causing mosquitoes
Project Implementation Method
We will implement machine learning techniques that takes mosquitoes songs audio files as input and use these sounds for training. Then we will calculate distance (euclidean/cosine similarity/mahalanobis) to classify unknown mosquitoe species. We will test the results using on a dataset that we will collect using microphones attached to a raspberry pi and solar panel to avoid human intervention. The sounds will be annotated by specialists from entomolog department.
Benefits of the Project
- Identify mosquitoes species using their sounds
- Help setup acoustic traps for dangerous mosquitoes
- Identify dengue and malaria causing mosquitoes
Technical Details of Final Deliverable
The final software would be delivered as an android app that can be used by anyone from anywhere to identify mosquitoes around them. The app will take mosquitoe sound recorded from mobile device as input and classify it based on the trained dataset.
Final Deliverable of the Project
Type of Industry
Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| High Quality Microphones | Equipment | 5 | 10000 | 50000 |
| Raspberry Pi 3+ | Equipment | 3 | 5000 | 15000 |
| Solar Panels | Equipment | 3 | 1000 | 3000 |
| Security Box | Miscellaneous | 3 | 2000 | 6000 |
| Printing & Docs | Miscellaneous | 10 | 100 | 1000 |
| Total in (Rs) | 75000 |
If you need this project, please contact me on contact@adikhanofficial.com
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