Johns Hopkins University (JHU) researchers have developed a low-cost imaging system to automatically track mosquitoes that carry disease, enabling more timely and targeted responses to outbreaks.
JHU's Adam Goodwin called the system a classic application of an Internet of Things device, which eventually could be coupled with computer-vision algorithms to automatically ascertain species and supply that data to public health systems.
The system can be installed within a traditional mosquito trap to remotely survey the population, diversity, and distribution of species, and consistently high image quality would enable the identification of several mosquitoes at once.
Said Goodwin, "Our new system would be particularly useful in monitoring Aedes aegypti in hard to reach areas and at commercial ports of entry where invasive species can be brought from other countries. It could also expand current surveillance operations for regions already monitoring local populations of Aedes aegypti.”
From Optical Society of America
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