This AI-powered mosquito detection system provides an affordable, automated solution for real-time identification of disease-carrying mosquitoes, crucial for controlling mosquito-borne diseases like dengue, malaria, and Zika. The system uses a simple mosquito trap equipped with a camera and advanced AI software to capture and classify mosquitoes by species, distinguishing between harmful vectors like Aedes aegypti and Anopheles, as well as harmless species. When a disease-carrying mosquito is detected, the system sends immediate alerts to health authorities and local communities, enabling quick intervention with targeted control measures. In addition to real-time detection, the system supports long-term mosquito population monitoring, offering valuable data for optimizing public health strategies. Its low-cost design makes it accessible to regions with limited resources, while its scalability ensures widespread use. By providing timely, accurate information, this system helps prevent outbreaks, reduce disease transmission, and enhance global efforts to improve public health.
Yuri Gonzales (Thu,) studied this question.