This document proposes the design and development of a low-cost coral monitoring system using Internet of Underwater Things technology. It describes using off-the-shelf components like a Raspberry Pi, underwater camera, and modem to create a prototype that can automatically acquire images of coral reefs every 60 minutes. Test results showed that using a coaxial cable to transmit images underwater provided more stable connections than WiFi. While integrating the system with a Hadoop distributed server for large image storage was 3 times slower than a single server. The conclusion is that a low-cost coral monitoring system was successfully created to continuously monitor coral reefs using underwater imaging and Big Data technologies.

1. Design and Development Low Cost Coral
Monitoring System for Shallow Water based
on Internet of Underwater Things
Abid Famasya Abdillah
Electronic Engineering Polytechnic Institute of Surabaya

2. Outline
• Introduction
• Research methods
• Results
• Conclusion

3. source : en.wikipedia.org
Has 76% of all
known coral in the
world
The Coral Triangle
Introduction
Introduction

4. source : NOAA, 2015 Fire coral
Normal Bleached

5. Introduction
Technologies
UWSN Remote sensing Image processing
Thermal analysis

6. • Create a prototype of automatic low cost coral monitoring
systems using cost off-the-shelf products
• Study the possibility to integrate it into Big Data
architecture
Introduction
Research Goals

7. Internet of Underwater Things
Overview
Consists of:
• Perception layer
A layer of sensors
• Network layer
Converged networks for
information gathering and
transportation
• Application layer
Layer of intelligent solution for
IoUT
Research methods
Figure by M.C.Domingo, 2012

8. GoPro
Research methods
Proposed methods

9. Wifi does not propagate well underwater
Research methods
Wifi Limitation
end to end
coaxial has multiple shield
Source: en.wikipedia.org

10. Research methods
Data acquisition
• Programmed in Node.js inside RPi 3
• Continuously run every 60 minutes
• Utilized by 3G modem

11. Open-source software framework for
distributed storage and distributed
processing of very large datasets.
Big Data Server
VS
Single (traditional) server
Research methods

12. Item Qty Price
Raspberry Pi Model B 1 Rp600.000
Powerbank 10,000 mAH 1 Rp209.000
Touchscreen LCD 1 Rp609.000
Monopod (rod) 1 Rp399.000
Coaxial cable 4m Rp44.000
GSM Modem 1 Rp150.000
Case box 1 Rp250.000
Underwater camera 1 Rp6.980.000
Buoy 1 Rp2.750.000
Total
Rp11.991.000
(USD 900)
Research methods
Cost Calculation

13. Experiment and Results
Implementation
deployment

14. Experiment and Results
Result 1
Comparison of image fetching over coaxial cable and over the air. As the result,
image fetching and downloading using coaxial cable is relatively stable

15. Result 2
Experiment and Results
Hadoop distributed servers took approximately 3 times slower to save images
comparing to single server.

16. Experiment and Results
Experiment

17. Representation
Experiment and Results

18. • Internet of Underwater Things can be
implemented to build coral monitoring system
• Our low cost prototype gives continuously
coral monitoring, clear images data and low
fetching delay
• Big Data architecture has been successfully
integrated
Conclusion
Conclusion

19. • Build more rigid Big Data architecture
• Implement advanced coral classification (e.g.
CoralNet — using Neural Networks)
Future works
Conclusion

20. Abid Famasya A
Undergraduate Program of Informatics
Electronic Engineering Polytechnic Institute of Surabaya (EEPIS)
abid.famasya@gmail.com
Thank You

21. XL View Catlin
Introduction
The XL Catlin Global Reef Record is a research
tool aimed at collating and communicating the
coral reef science of the XL Catlin Seaview
Survey
They build XC Catlin Seaview SVII, a ROV
capable of taking 360° high-resolution images
Source: globalreefrecord.org

22. Development of Underwater Monitoring Wireless
Sensor Network to Support Coral Reef Observation
Figure by Tsuyoshi Suzuki et al, 2014
Introduction
Tsuyoshi et al have been
developing a underwater
wireless sensor network
(UWSN) system to support
coral ecological system survey
activities