An Automatic System of Tagging and Uploading of Mosquito Species from Smartphone Images

Tech ID: 18B171

Competitive Advantages

  • Cloud-based system
  • Real-time identification and reporting
  • Minimal to zero human intervention is required
  • Time and cost savings
  • Improved accuracy

Summary 

Our inventors have developed a method for automatic identification of mosquito genus, species, and anatomy from smart-phone images. The method involves anyone (including untrained personnel) to take pictures of mosquitos with smartphones, the species type is identified, and images and population results are automatically uploaded to a cloud system. Through the use of this digital image processing and a deep learning application, everyone across the globe could take a picture of dead and physically un-deformed mosquitos. Therefore, the species would be identified immediately and reported to the Mosquito Control Board remotely. This invention is suitable for application in vector control programs, health organizations, and pest control industries. It is a fast and cost-effective method which takes advantage of everyone’s access to a smartphone. The efficiency of the system will improve with usage and population.

 

A Representative Sample of Some Classified Mosquito Species

Desired Partnerships

  • License
  • Sponsored Research
  • Co-Development