South KoreaPublic sector2023 – ongoingKorea Disease Control and Prevention Agency
AI-DMS real-time mosquito surveillance
KDCA reported over 95% mosquito identification accuracy after field testing AI-DMS
Problem
Manual mosquito surveillance took approximately 7 to 11 days from collection to identification. That delay limited timely vector-control information.
Approach
KDCA developed AI-DMS in 2023 and tested its accuracy and durability during 2024 and 2025. The system identified and counted 5 major mosquito groups in real time. KDCA began a 7-site surveillance operation with local partners in May 2026.
Results
Takeaway
Automated identification shortened the information cycle for surveillance. KDCA did not report an associated reduction in mosquito-borne infections.
Categories
- Industry
- Public sector
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
KDCA described development and field testing of its real-time mosquito monitoring system. It reported over 95% identification accuracy and announced operation at 7 sites, compared with a manual identification cycle of approximately 7 to 11 days.
Full details are in the original sources.