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Revolutionizing Malaria Vector Surveillance
About
VectorCam is a JHU CBID initiative under Dr. Soumyadipta Acharya, aimed at developing a lightweight CNN-based algorithm for malaria vector surveillance in Uganda...
Research
Our research focuses on the development of a mosquito image database using basic smartphones and a deep learning algorithm with high accuracy for species, sex, and abdominal status classification...
Technology
Our lightweight CNN-based algorithm can be integrated into low-cost handheld tools, requiring no cloud connectivity or high computational hardware, simplifying and scaling up malaria vector surveillance...
Team
Our team consists of researchers and experts from various fields, dedicated to improving vector surveillance and malaria control...
Contact
If you have any questions or would like to collaborate, please feel free to contact us...