About

The VectorCam team is continuing the work of a CBID project formerly known as ByteSight . 

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Mosquitos are the world's deadliest animal infecting more than 200 million people per year with Malaria leading to more than 400,000 Malaria related deaths. Our team aims to help in the fight against Malaria through improving the vector surveillance process.

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What is vector surveillance? 

Malaria prevention efforts begin with vector surveillance, the process of collecting, counting, and identifying the mosquito species in a region. With this data the appropriate mosquito control program can be deployed to lessen the spread of malaria.

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The Problem:

Entomologists and field workers need an efficient and accurate way to speciate mosquitos in order to analyze their population characteristics, thereby enabling early malaria vector control interventions.

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Our Solution: 

Our solution is a portable field tool that automatically and accurately speciate mosquitoes using computer vision. This user-friendly tool, currently in the prototype phase, allows untrained field workers to take high-quality, high-resolution images of mosquito specimens. These images are then processed and labelled in the Cloud by our deep learning algorithm. The species data will be available in the Cloud for decision makers as soon as the mosquito is collected.