Tanaka_FishTechbyOceanEyes.pdf

©2019 Ocean Eyes Inc., 2
2
Executive Summary
Ø OceanEyes is a deep-tech venture for Ocean AI established in 2019
Ø OceanEyes’ mission is to apply the world's most advanced research outputs on AI/ML and physical
oceanography to human activities in/on the ocean
Ø Ocean Eyes develops physical oceanographic technologies (ocean circulation numerical models and
data assimilation methods) to make "ocean state estimation and its forecasting” and combines them with
fisheries data and advanced AI techniques for “forecasting potential fishing ground (PFG) or positions of
Fish Aggregating Devices (FAD)”
Ø Ocean Eyes provides ocean condition data and PFG by FishersNavi.
Ø Ocean Eyes’s service saves operating costs and time, and reduces carbon emissions related to fishing
activities, by providing ocean condition data and potential fishing grounds
Ø In this presentation, we will introduce the state-of-the-art smart fishing services to promote Fishtech.

3
Board Members
Director
Dr. Masafumi Kamachi
Oceam model / Data Assimilation
Guest Engineer at JAMSTEC
Ex Senior Director at MRI/JMA
Auditor
Dr. Yoichi Ishikawa
Oceam model / Data Assimilation /
Climate Change Adaption
Director at JAMSTEC
CEO
Yuusuke Tanaka
Ocean numerical models / Data Assimilation
Guest Engineer at JAMSTEC
Director, CTO
Dr. Masaaki Iiyama
Pattern Recognition / AI
Porfessor at Shiga Univ.
Director
Dr. Hidekazu Kasahara
Tourism Infomatics / Pattern Recognition
Professor at Osaka Seikei Univ.
Director
Kenichi Yotsumoto
Buisiness Development
Kyoto iCAP, VC

4
The Problem
Search
Operation
Move
Breakdown of the working time of fishers
M
o
v
e
/
S
e
a
r
c
h
S
e
a
r
c
h
Search
Catch!!
Move
(No fish)
(No fish)
Fishers spend long time and excess fuel to search for good fishing ground
Based on the
captains’ intuition

5
Our solution
Provide information on potential fish ground
Search
Operation
Move Save time and oil
Move/Search
Search
Operation
Move
Ø Ocean condition
Ø Prediction of potential
fishing ground (PFG)
Based on the scientific
information

6
Product ‒ Fishers Navi
FishersNavi
Ø Temperature
Ø Salinity
Ø Current
Ø Chlorophyll
Ø Sea surface height
Provides useful information for
finding good potential fishing
grounds (PFG)

7
Product ‒ FishersNavi
Temperature at
100m depth
Current at
100m depth
Chlorophyll
Shiome:
Boundary of different
water masses (good
indicator for PFG)

8
Field Tests are showing positive results
Tuna fishers in Indonesia reported 21% increase in productivity
by using FishersNavi

9
Field Tests are showing positive results
Tuna fishers in Indonesia reported satisfaction score (5.4 out of 7) with
FishersNavi

10
Core Competences

11
Core Competences
Ocean numerical model solves ocean dynamics based on the laws of physics
Influences from atmospher
(Precipitaion, air temperature / humidity,
radiation, wind)
Surface
Current: Equation of momentum
Temprature /
Salinity:
Advection-diffusion equation

12
Coastal detaild forecast data by Ocean Eyes
(Horizontal resolution of 1.6 km)
North Pacific analysis/forecast data (by JMA)
North Pacific model
Represents mesoscale eddies
Forecast up to 1 month
Assimilates observation data
Dowscaling
Include tidal current
Detailed coastal line/ bottom topography
High frequency output
Core Competences
Detailed ocean condition in specific area is calculated based on the coarse
wide data

13
good
bad
Physical oceanography Fisher’s intuition AI/ML = PFG
Core Competences

14
Future Objectives
Expand AI and Modeling technology to resolve challenges in the maritime
sector
Value Creation Enhanced Monitoring
FishersNavi
SEAoME
Carbon Reduction
Adaptation
Blue Carbon Ecosystem
Development
Aquaculture field
simulation
TCFD Scope 3 monitoring
TCFD –
Strategy
Disclosure
Ocean Resource
Management
Shoreline Infrastructure
simulation
Vessel route
optimization
（TCFD: Task Force on Climate-related Financial Disclosures）

15
Contacts
Mail: info@oceaneyes.co.jp
Promotion video of Fishers Navi
Home page

16
Company Overview
Ø Company Name Ocean Eyes Co., Ltd.
Ø Established 1st April, 2019
Ø Capital Stock 23,485,000 JPY
Ø Delegate CEO, Yuusuke Tanaka
Ø Address Kyoto, Japan
Ø Business Ocean data analysis
Ø Revenue About 120 million JPY in FY2022
Ø Stockholders Managements (Researchers of JAMSTEC and Kyoto Univ. ), Kyoto iCap
Ø Employees 16

17
Product Outline
FishersNavi SEAoME
Provides useful information for finding
potential fishing grounds (PFG)
Customized information on ocean
condition for specific purpose
Characteristics
Buisiness model B2B B2G2B
Small-scale fisheries
Service
Monthly
subscription fee Governments
Contract
Large- to medium-sized
operators
Service

18
Product ‒ SEAoME
SEAoME
Examples:
Ø High-resolution ocean model
Ø Specialized data visualization
Ø System to gather fishing activities
Customized information on ocean
condition for specific purpose

19
詳細な沿岸域の把握ができる数百m解像度の海況予測モデル群を開発中
OE 沿岸域1.6km解像度海況予測モデル
ダウンスケーリング
OE 沿岸数百m解像度海況予測モデル
潮汐を再現
海岸地形をさらに細かく再現: 三陸の各湾も識別可能
海岸付近の海底地形も細かく再現
詳細な時間間隔でのデータ
(流れ: 1時間ごと; 水温・塩分: 1時間ごと)
計算領域は狭い (各県程度)
予測時間は長くない (~2日程度)
再現性検証のための観測データが極めて少ない
Core Competences

20
Research & Development
将来の気候変動下での高解像度な沿岸海洋の予測

21
FORP-JPN02による年平均流速の分布
(2007年の過去再現実験)

22
FORP-JPN02による年平均流速の分布
(2007年の過去再現実験)
- 気候変動下での沿岸域の詳細な海
洋環境予測データを創出
- 地球スケールの影響を沿岸域の影
響にブレークダウンできる
- より具体的なリスクの評価、対策
の立案に資するデータとなる
- 30年後、50年後といった中長期の
予測データを作成可能

23
Future Objectives
Obtaining data in large quantities to enhance forecasting ability
Observed
Data
Create
Model
PFG for tuna
with Real Data
Create Forecast
Data
Assimilation
Enhance
Forecast quality
Obtaining ocean and fishing
data
with devices
enhances the quality of
forecasting!
Quantity > Quality
（PFG: Potential Fishing Ground）

Tanaka_FishTechbyOceanEyes.pdf

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