AEDES classifier
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It uses digital image processing and support vector machine (SVM) to detect aedes aegypti mosquito. Aedes aegypti mosquito is a carrier of dengue virus which causes the problem that is called dengue hemorrhagic fever. As of today there is still no particular medicine for the treatment of such. As a result the study proposed a way on how to detect if a mosquito is an aedes aegypti or not using SVM in Matlab. First, it was trained by feeding images of aedes aegypti and not aedes aegypti such as aedes albopictus and culex that were taken at different views, highlighting their unique features. In the image processing, the features were extracted and tllen classified to aedes ae~ypti or not aedes ae~ypti. Confusion matrix was used to show tile accuracy of tile system in detecting tile Aedes Aegypti mosquito ...learn more
Project status: Under Development
Overview / Usage
Software can be mounted on drone which themselves take survellance of area.
CCTV cameras with microscopic lens.
Used in home’s CCTV cameras with microscopic lens.
ppt link- https://docs.google.com/presentation/d/1RR7eCAuSIRvMBQ7OSCyHkP6kLpD9-J-yBfxAggJNMnw/edit?usp=sharing
Methodology / Approach
the system starts by getting a
mosquito given in a closed environment. Once the mosquitoes
are captured by a camera, the images are transferred and saved
in a specified format (jpeg, bmp, png). The image is processed
using MATLAB software, where segmentation, noise filtering
takes place. After using the processes, the features of the
mosquito are extracted, then data that has been gathered is
given to SVM that lets the system display a message on the
program telling that the mosquito is a type of an Aedes Aegypti
mosquito or not.
Technologies Used
ML
Deep learning
IOT