Classification Of Human Predators in Offshore with Notification Process

In recent years, human predator outbreaks have occurred frequently in offshore areas around the world, posing a serious threat to the tourism and personal safety. As a result, observing those species is critical to resolving these issues. Aside from surfing, people who participate in other activities such as swimming or playing etc. require security. This paper studies the classification of those species using Deep learning. Python programming language, in conjunction with the Tensorflow, is used for species classification. This project uses shark, jellyfish and fish species as a dataset. The primary stage is classification of those species. Firebase is used for the sending notification after the classification of shark or jellyfish. We establish a dataset containing of different species of sharks, jellyfishes and fishes. The result of this study provides effective way to monitor shark and jellyfish which can be used to avoid the impacts on humans.