Development of a One Way, Imaging Based Fish Fingerling Counter Using Raspberry Pi

Abstract

Aquaculture is also growing much faster than capture fisheries. Through this study, it can greatly benefit the country, especially the fishermen and fish companies, to automate the way of counting the fish instead of counting them manually. The researchers are able to create a Raspberry Pi system in order to count the fish fingerlings considering one-way, imaging-based process. For the housing, an angle of depression of 3 degrees is considered; thus, the program can detect and count the colors with in its boundary. The fish fingerling counter has an accuracy at least 90% for Running Total and Binary Classification.