Missquito Computer Vision Project

Here are a few use cases for this project:

1. Mosquito Surveillance and Control: The "Missquito" model can be utilized by pest control services or community health sectors to continually monitor mosquito population and species spread in a specific area. Through captured image data, it could quickly identify which species is prevalent, thus determining the potential disease risks (such as Dengue, Zika, and West Nile virus) and enabling more effective, targeted pest control strategies.

2. Health Research and Disease Prevention: Medical researchers and public health organizations could use the model to study mosquito behavior, specifically focusing on the species that are more likely to land on human beings. Understanding this behavior could help in the development of more effective repellents or other disease prevention measures.

3. Outdoor Event Management: Organizers of outdoor events could use this model to analyze camera footage to estimate mosquito activity levels at their event locations. Depending on the results, they might decide to move their event, fumigate the area, or provide guests with appropriate protection measures.

4. Home Use for Mosquito Detection: The "Missquito" model can be adapted into a mobile app or integrated into home security systems. It could send an alert when a high concentration of a certain mosquito species is detected, prompting homeowners to take preventative action.

5. Surveillance in Animal Farming: For animal farms, especially those raising livestock that may be susceptible to diseases carried by mosquitoes, this model could be used to monitor and control mosquito populations around the farms, thereby protecting the health and productivity of the livestock.