API for saving all the needed data
Invasive species are a serious problem in the ecosystems in which they become established, and can lead to the extinction of local species, especially endangered ones. Here, we propose a solution, called Evern, to provide camera monitoring in natural areas. The services, created under the ITIL framework, aim to detect invasive species based on a classification process performed by Artificial Intelligence, and notify the threat to the contracting client using a message distributor and an integration framework. The implemented system is able to make accurate predictions with more than 96% accuracy, ensuring that all camera images are treated. Thanks to Evern, it is possible to locate invasive species faster and send warnings to take appropriate action, helping to protect local species.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.