Detection of cyanobacteria Computer Vision Project

Here are a few use cases for this project:

1. Water Quality Monitoring: The detection model could be used in monitoring and ensuring the quality of both freshwater and marine resources. By identifying harmful cyanobacteria classes, actions can be promptly taken to prevent health problems and ecosystem disruptions caused by cyanobacterial blooms.

2. Ecological Research: The model could assist scientists in analyzing the behaviors, growth patterns, and impacts of different Cyanobacteria classes in different ecological zones. This could allow for a more in-depth understanding of the cyanobacteria's role in the ecosystem.

3. Aquarium Maintenance: The model could be used to monitor the presence of these bacteria in both home and commercial aquarium setups. An early detection would enable quick treatment, ensuring the well-being of the aquarium's inhabitants.

4. Public Health Programs: Governmental and non-governmental agencies concerned with public health could use the model to monitor recreational water bodies like lakes, beaches, and public pools to safeguard public health.

5. Industrial Usage: In industries where water usage and quality is critical, such as in beverage manufacturing or power plants, the system can help maintain the necessary water quality by providing early detection of any harmful cyanobacteria.