Vectech publishes paper on novel mosquito identification approaches in Scientific Reports
July 1, 2021, Baltimore, MD
Vectech, a startup developing innovative insect detection and monitoring technologies, announced today it has published a paper titled Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection in Scientific Reports. The paper outlines novel methods used to enable the practical implementation of convolutional neural networks in mosquito surveillance practice. The full paper can be accessed here.
"We are excited to not only share the new computer vision methods we've applied to mosquito identification, but also advance the field towards practical use in mosquito surveillance practice," said Adam Goodwin, Chief Technology Officer of Vectech and lead author on the study.
About Scientific Reports:
Scientific Reports is an open access journal publishing original research from across all areas of the natural sciences, medicine and engineering. Learn more here.
About Vectech:
Vectech, LLC is a Baltimore-MD based technology company that specializes in optics and computer vision approaches to detecting and monitoring insects. The technology can be implemented in a variety of tools, from public health operations, to citizen science, and entomolgical research. The company aims to generate data that will promote effective allocation of control resources and prevent vector borne diseases. Learn more: https://www.vectech.io/
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