India, July 22 -- With mosquito-borne diseases such as dengue and malaria continuing to pose a significant public health challenge in India, Associate Professor Kiran Trivedi from the University of Wollongong in Gujarat has developed a low-cost artificial intelligence (AI)-powered device that can identify disease-carrying mosquito species within seconds by analysing the sound of their wingbeats.

The portable AI device uses Tiny Machine Learning (TinyML) to accurately identify three of the world's most significant disease-carrying mosquito species-Aedes, Anopheles and Culex-without requiring internet connectivity or cloud-based computing.

By enabling rapid, on-site identification of mosquito species, the innovation has the potential to s...