Mosquito Electronic Counting Device

The study presents an innovative device for real-time counting and identification of adult mosquitoes, integrating IoT technologies, infrared sensors, and machine learning algorithms. The device enhances the functionality of the existing ECODEV trap by offering high accuracy, low cost, energy autonomy, and the capability for both quantitative and qualitative analysis of mosquito populations. The system's architecture is based on sensors that capture mosquito movements and transmit the data via GSM to a central server for analysis. Users can monitor the measurements in real-time through maps and applications. The device was successfully tested, achieving a counting accuracy of 93.29%, surpassing traditional systems. In the future, this technology could be expanded to other applications, such as agriculture and livestock management.