A Comparative Analysis of the Yolo Models for Intelligent Lobster Surveillance Camera

Fityanul Akhyar, Ledya Novamizanti, Koredianto Usman, Ghanes Mahesa Aditya, Farhan Nur Hakim, Mukhamad Zidni Ilman, Ferdi Ramdhon, Chih Yang Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In lobster farming, monitoring of lobsters is essential and must be performed. Aruna, one of the lobster trading startups in Indonesia, is still using manual monitoring by sending divers underwater to observe the progress of the lobsters. This way is considered less effective because it is done intermittently, only at certain times and in good weather conditions. In this study, we propose to investigate object detection for underwater surveillance cameras as a means of real-time monitoring and counting of lobsters. Underwater video data is fed into the proposed system based on a deep learning-based model. This system consists of three processes: image enhancement with WaterNet as noise reduction, object counting with the YOLOv6/7/8 model, and object tracking using StrongSORT. For details, we annotated the lobster data by head only and full body. Our test results show that YOLOv7, with head annotation, has stable mean Average Precision (mAP), making it suitable for the proposed system. Then, we implemented a combination of WaterNet, YOLOv7 and StrongSORT to the proposed system architecture for the Intelligent surveillance camera.

Original languageEnglish
Title of host publication2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2131-2136
Number of pages6
ISBN (Electronic)9798350300673
DOIs
StatePublished - 2023
Event2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023 - Taipei, Taiwan
Duration: 31 Oct 20233 Nov 2023

Publication series

Name2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023

Conference

Conference2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023
Country/TerritoryTaiwan
CityTaipei
Period31/10/233/11/23

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