mobile app equipped with a computer vision system that detects specific features of the fish (i.e. color, length, fish fin) This information is sent to a computer. 2. Classification Phase: We implemented machine learning techniques and software to build a classifier that can make more accurate predictions about the fish species. For the physical classification we created two stages: the first stage works with water tubes that is able to separate fish keeping them alive. The second stage works with a conveyor belt and is capable of separating dead fish, it also works as a rectification phase of the first stage, this process is made with additional cameras. We built this system thinking about keeping alive and returning to the sea protected species, fish that is before its reproduction period or other protected animals that are not even fish. i.e. Turtles, Sharks.