Abstract
This research presents the use of smartphone technology to assist fisheries work. Specifically, we designed an Android application that utilizes a camera connected to the internet to detect RGB image objects and then convert them to HSV and gray scale. In this paper, Android-based smartphone technology using image processing methods will be discussed, a digital tool that provides fish detection results in the form of length, width, and weight used to determine the price of fish. This application was created using features provided by the OpenCV library to produce binary images. Three main challenges highlighted during application design including C ++ QT were used to build the user interface, the contour-active method was used to divide and separate image objects from the back-ground, while the clever edge edge method was used to improve the outline ap-pearance of objects. Both methods are implemented on the Android platform and utilize smartphone cameras as an identification tool. This application makes it possible to provide many benefits and great benefits for farm farmers but on the other hand will create technological gaps
Highlights
Having the best smartphone for various needs is important but still depends on the software or application that is owned according to work requirements
The OpenCV library is used for application development because it can work on various operating systems and across platforms [14] as well as having complete algorithms and functions for image processing function [8] besides that it has been implemented in several image processing projects [4], [14]
OpenCV Library Version 2.2 is the first version that can be built on the Android operating system and in version 2.3.1 has been equipped with a program code for image processing on the Android system [4]
Summary
Having the best smartphone for various needs is important but still depends on the software or application that is owned according to work requirements. Mobile application innovation is moving towards the digitalization of processes that aim to create quality [7] and the most interesting thing is image processing. Various cloud-based mobile computing applications have been developed and presented to users such as, cellular learning, cellular health services, mobile games or industrial needs [5] The need for mobile technology with the ability to image segmentation in the freshwater fish industry is used to identify the quality and type of freshwater fish [11]. The focus of this research is to look at and demonstrate the utility of an android mobile application and find out how efficient an image processing application can be used to check and assess the benefits of a product
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