Abstract:
Object detection is one of the sub-components of computer vision.
With recent development in deep neural networks many day-to-day problems
can be solved. One of the practical problems faced by shoppers is the
difficulties in identifying the fish species correctly. Even though there are few
studies to solve this problem, those implemented solutions are not easily
accessible. Main objective of this study is to implement a mobile application
based on deep learning that can detect the fish species and provide information
on vitamins, minerals, prices and recipes. For this study, top selling 16 Sri
Lankan fish species are used. In this study, we were able to build a model using
a YOLO based convolutional neural network. Mobile application takes 3-20
seconds to detect the fish species based on the Internet speed.
