Our solution is a portable field tool that automatically and accurately speciates mosquitoes using computer vision. This user-friendly tool, currently in the prototype phase, allows untrained field workers to take high-quality, high-resolution images of mosquito specimens. These images are then processed and labelled in the Cloud by our deep learning algorithm. The species data will be available in the Cloud for decision makers as soon as the mosquito is collected.
Why our approach?
Increase speciation accuracy from 50-66% to >94% while decreasing training burden .
Analyze a greater volume of mosquitoes, increasing the usefulness of the data.
Save money & resources by deploying the most effective interventions.
Prevent malaria before it happens!
Supported by some of the top researchers in malaria, with connections to a dozen surveillance programs, we are perfectly positioned to disrupt vector surveillance, optimizing malaria prevention programs and ultimately saving lives.
ByteSight 