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Deep Vision - non-extractive fish sampling for stock surveillance

Shale Rosen

Research Group Fish Capture /

CRISP Centre for Research-based Innovation

Transatlantic Science Week 2015 Session 3.1 Productive Seas and Oceans: Fisheries November 4, 2015

Boston, MA USA

(2)

CRISP Centre for Research-based Innovation in Sustainable fishing

and Pre-processing technology

Universities Industry Research Institutes

.. .

. .

Funding from industry partners and

(3)

Deep Vision

In-trawl stereo camera + analysis software

Goal: identify and measure all passing

objects without taking them onboard

(4)

Trawl sampling today

All catch is accumulated and mixed in the trawl

Where were the different

species captured?

(5)

Trawl sampling today

Many fish are simply measured and thrown back overboard

(or never even measured)

(6)

Deep Vision

In-trawl stereo camera + software

Cameras, PC for storage / control Powerful LED lights (not pictured)

Battery powered for 8 hours 5 image pairs per second

Placed inside frame in trawl for protection / lighting / fish positioning

(7)

~ 60m

~ 40m 1-2m

Range for good images ≤ 3 m

Deep Vision deployment

(8)

3 cod passing per second (19 tonnes per hour)

146 m depth

Images

(9)

Deep Vision image analysis software

(10)
(11)
(12)
(13)

+

+

Juvenile fish

(14)

northern shrimp

jellyfish and siphonophor (normally destroyed in trawl)

Crustaceans and large zooplankton

(15)

Atlantic cod with sea lice (parasitic copepods)

Parasites

(16)

• Time and depth of each passage

• Species and size

• Passage rate (density)

• Species overlap

Rosen and Holst 2013

Precise spatial information

(17)

Live images and data to vessel

Ethernet trawl sonar

and streaming video

(18)

Future: tool for more targetted

commercial fishing

(19)

Thank you for your attention

(20)
(21)

Too large to fit in a single image

Curved

No images with both snout and tail visible

Poorly oriented fish

(22)

Measuring poorly oriented fish

15 landmark points

105 landmark distances

Calculate ratio between each landmark distance and total length

Scale up landmark distances

Measure landmark distance, scale up to total length

Sum shorter invervals

(23)

Verification of juvenile fish lengths

Atlantic cod

measured standard length: 65mm standard length from image: 63mm

lumpsucker

measured standard length: 36mm standard length from image: 36mm

(24)

21 species, 4-625

individuals per species (1631 total)

Lengths calculated

from images for 1631 of 1699 fish imaged and identified (96%)

Difference in length distribution only for Atlantic herring and Atlantic horse mackerel (Kolmogorov-Smirnov test)

Rosen et al. 2013

Length frequencies (large catches)

(25)

Atlantic cod approximately 3 m from camera Same cod,10 seconds later

Monochrome observation camera (direct lighting)

DeepVision (indirect lighting)

Diminished image quality, but useable for species and length id

Challenges: turbid water

(26)
(27)

5.0 cm Greenland halibut

young of the year fish

jellyfish, small crustaceans

comb jellyfish krill amphipods shrimp

6.5 cm Atlantic cod 3.6 cm lumpsucker

Underwood et al. submitted

Ecosystem / juvenile fish survey

(28)

Length Measurement (theory)

+ +

( X1, Y1, Z1 ) 64 38 496

-302 -82 657 ( X2, Y2, Z2 )

Euclidean distance

x1 x2

 

2 y1 y2

 

2 z1z2

2

64( 302)

 

2 38( 82)

2 4966572

mm

 417

(29)

Haddock with decompression and fin / scale injuries, but alive

Recaptured discard / escapee from commercial fleet?

Data products: Information on specific fish of interest

09:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 0

50

100

150

200

Trawl Seabed haddock

Time (UTC)

Depth (m)

compre ssion

decom

pression

(30)

Automatic Species Identification

Training Analysis

Fish species database

Fish species database

Analysis software

(31)

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