PENGEMBANGAN SISTEM MONITORING PADA ROBOT UNDERWATER DENGAN MENGGUNAKAN KAMERA WEBCAM

Maulana Maninnori Nawirma; Satria Gunawan Zain

doi:10.26858/jessi.v1i2.16119

PENGEMBANGAN SISTEM MONITORING PADA ROBOT UNDERWATER DENGAN MENGGUNAKAN KAMERA WEBCAM

Maulana Maninnori Nawirma^(1*), Satria Gunawan Zain⁽²⁾,

(1) Universitas Negeri Makassar
(2) Universitas Negeri Makassar
(*) Corresponding Author

DOI: https://doi.org/10.26858/jessi.v1i2.16119

Abstract

This study focuses on the underwater robot monitoring system using a webcam camera. the development method used is Research and Development (R&D). In this study, using the Raspberry Pi 3 to process the input data that has been generated by the webcam camera. The algorithm used for object recognition and classification is Convolutional Neural Network (CNN). In this study, using the tensorflow lite framework version 1.14 for the introduction of objects that run on the Raspbian operating system with a dataset of 760 images. Based on the test results, it is known that the developed underwater robot monitoring system has successfully captured video images well and can successfully recognize fish objects using the Convolutional Neural Network (CNN) algorithm. The level of accuracy of the detection system for Molly and Sumatran fish using the realtime Convolutional Neural Network (CNN) algorithm can be assessed as working well. For detection of molly fish it reaches an accuracy of 66.7% while for Sumatran fish it reaches 45.5%.

Keywords

Raspberry pi 3; webcam camera; Convolutional Neural Network (CNN)'; underwater robot and tensorflow lite

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