The MOSAICO Project

Project Objectives

The MOSAICO project revolutionizes the monitoring and automatic classification of mosquito species through advanced Deep Learning and Computer Vision techniques. Rapid and accurate identification is crucial for disease prevention, and MOSAICO is designed to make this process faster, smarter, and more accessible.

Our system goes beyond identifying a single mosquito by introducing unique features like group analysis, interactive feedbacks and automatic report generation, dramatically accelerating the work of field operators.

Our Key Innovations

• Multi-Mosquito Analysis: Classify multiple mosquitoes from a single image at once, significantly reducing manual analysis time.
• Open-Set Detection: Identifies and isolates mosquitoes that do not belong to known species, flagging potential new threats or unusual specimens.
• Interactive Analysis with Feedback: Enables expert to review and correct identifications in the event of a misclassification.
• Automatic Reporting: Creating automatic reports that significantly speed up surveillance processes and strategic decision-making.
• User-Friendly Interface: Designed to be simple and intuitive, making the technology understandable even by non-specialized personnel.