Mosquitoes spread deadly diseases like dengue, impacting millions. Traditional surveillance methods are slow, expensive, and unreliable, relying on manual checks and spraying. Ovitrap IoT disrupts this with real-time egg detection and data transmission, offering a smart and sustainable solution.



Unlike conventional traps, Ovitrap IoT is designed for continuous, data-driven surveillance.
It combines smart sensors, cloud connectivity, and AI analytics to create an integrated early warning system against mosquito-borne diseases.
Real-time detection and transmission of mosquito egg data, which can provide timely and accurate information for mosquito control interventions.
Wi-Fi module and cloud-based data storage and analysis, which can allow remote access and management of the ovitrap data and performance.
Dashboard and data integration, which can display the ovitrap data along with the weather data and the data from Dinas Kesehatan Bandung, which can show the actual dengue cases in the area.
AI prediction and recommendation, which can estimate the potential of dengue fever outbreak and suggest the best actions for the users, such as fogging, cleaning, or alerting



Implementing Ovitrap IoT in pilot areas has shown significant improvement in mosquito surveillance and dengue prevention efficiency
