| Popis: |
Aedes aegypti is a mosquito and main transmitter of dengue disease. Dengue is a viral disease that can only be transmitted to Humans by the bite of infected mosquitoes with the virus of the disease. It usually manifests in three clinical types, one of which can lead to death. The classical dengue, is classified as a febrile illness of mild to moderate intensity; dengue hemorrhagic fever, more severe than the last one, it comes to changes in blood clotting of the infected person; and dengue shock syndrome, very rare form, but can be fatal if not treated in time. Furthermore, Aedes aegypti transmits diseases like yellow fever, and it also has fully capacity to transmit chicungunha fever. Due to the fact that it is a fatal disease and the eradication of Aedes Aegypti is practically impossible, it is very important monitoring and control of Aedes Aegypti reproduction. The monitoring and control processes are still precarious when it comes to mosquito eggs counting technology collected through ovitraps vane in breeding sites. Because this processes are performed manually by experts using magnifying glass and tweezers. This paper presents a mechanism to make these processes faster and more efficient, it is a hardware / software interaction mechanism capable of capturing microscopic images of ovitraps vane and from an image processing software automating the counting of eggs contained in the vanes and in the future through geoprocessing inform the locations of higher reproduction of Aedes aegypti in a given region. |
