The Silent Killer in Our Midst: Can TinyML Help Turn the Tide? The annual toll of 700,000 deaths from mosquito borne diseases such as malaria, dengue, and Zika is a sobering reminder of the global health crisis we face.
Amidst this grim backdrop, researchers are exploring innovative solutions to detect these disease carrying mosquitoes before they strike.
One promising development comes from Associate Professor Kiran Trivedi at the University of Wollongong, who has created a device capable of identifying mosquito species by their distinct wingbeats using TinyML technology.