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How to build a low-cost underwater camera housing for aquatic research

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Abstract and Figures

Remote cameras are an increasingly important tool in field-based biological research. Terrestrial researchers can purchase inexpensive off-the-shelf cameras, but aquatic researchers face challenges in adopting similar systems for underwater science. Although technology allows researchers to deploy cameras in any aquatic environment, high procurement costs are often a barrier, particularly for studies that require the collection of lengthy videos. In this note, we provide a detailed guide explaining how to assemble an underwater camera system for less than $425 USD. We focus especially on the construction of the underwater housing, which is typically the most expensive component of an underwater camera system. As described, this system can record 13 h full high-definition videos in depths up to 100 m. It can be constructed and assembled with limited technical background using tools available in most workshops. The guide includes a general overview of the system, a full list of components, detailed instructions on constructing the camera housing, and suggestions on how to mount and use the camera in fieldwork. Our goal for this note is to promote the wider use of remote underwater cameras in aquatic research by making them accessible to those with limited financial means.
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How to build a low-cost underwater
camera housing for aquatic research
Jonathan A. Bergshoeff
ab
, Nicola Zargarpour
ab
, George Legge
a
, and Brett Favaro
ab
*
a
Centre for Sustainable Aquatic Resources, Fisheries and Marine Institute of Memorial University of
Newfoundland, St. Johns, NL A1C 5R3, Canada;
b
Department of Ocean Sciences, Memorial University
of Newfoundland, Logy Bay, NL A1K 3E6, Canada
*Brett.Favaro@mi.mun.ca
These authors contributed equally to this work.
Abstract
Remote cameras are an increasingly important tool in field-based biological research. Terrestrial
researchers can purchase inexpensive off-the-shelf cameras, but aquatic researchers face challenges
in adopting similar systems for underwater science. Although technology allows researchers to deploy
cameras in any aquatic environment, high procurement costs are often a barrier, particularly for
studies that require the collection of lengthy videos. In this note, we provide a detailed guide
explaining how to assemble an underwater camera system for less than $425 USD. We focus
especially on the construction of the underwater housing, which is typically the most expensive
component of an underwater camera system. As described, this system can record 13 h full high-
definition videos in depths up to 100 m. It can be constructed and assembled with limited technical
background using tools available in most workshops. The guide includes a general overview of the
system, a full list of components, detailed instructions on constructing the camera housing, and
suggestions on how to mount and use the camera in fieldwork. Our goal for this note is to promote
the wider use of remote underwater cameras in aquatic research by making them accessible to those
with limited financial means.
Key words: action camera, remote camera, digital video, behaviour, benthic ecology, science
communication
Introduction
Aquatic science relies on technologies that provide information about the underwater environment.
Underwater cameras are a widely used tool to perform direct observations on the behaviour of organ-
isms in their native habitat and can greatly supplement the data derived from other means. As an
example, cameras can be used to study the behaviours of organisms that interact with static
(e.g., Renchen et al. 2012;Bacheler et al. 2013;Favaro et al. 2014)andmobilefishinggear
(e.g., Nguyen et al. 2014;Underwood et al. 2015) in situ.
The merits of applying camera systems in biological studies have been amply demonstrated in the ter-
restrial realm, where a mature body of evidence has described their application to studying ecosystems
(OConnell et al. 2011). Many of these systems are inexpensive and readily available as off-the-shelf
products, which has assisted in the proliferation of this study technique. In contrast, underwater cam-
era systems can be substantially more expensive, due primarily to the challenges associated with oper-
ation in an aquatic environment.
OPEN ACCESS
Citation: Bergshoeff JA, Zargarpour N,
Legge G, and Favaro B. 2017. How to build a
low-cost underwater camera housing for
aquatic research. FACETS 2: 150159.
doi:10.1139/facets-2016-0048
Editor: Sophia Johannessen
Received: September 12, 2016
Accepted: December 13, 2016
Published: February 16, 2017
Copyright: © 2017 Bergshoeff et al. This
work is licensed under a Creative Commons
Attribution 4.0 International License (CC BY
4.0), which permits unrestricted use,
distribution, and reproduction in any
medium, provided the original author(s) and
source are credited.
Published by: Canadian Science Publishing
NOTE
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The utility of underwater cameras for aquatic science depends in part on the specifications and capa-
bilities of the camera gear (Favaro et al. 2012;Underwood et al. 2012;Struthers et al. 2015). For cam-
eras that are self-contained (i.e., do not need to be connected to a boat or other fixed power source at
the surface), there are essentially two categories: expensive systems that are highly capable; and
inexpensive systems that are limited in battery life, safe operating depth, storage capacity, and
low-light sensitivity (e.g., Struthers et al. 2015). For researchers that need to record video for longer
periods of time (e.g., studying deployed fishing gear), systems specific to the project often have to be
designed and built (e.g., Jury et al. 2001;Bacheler et al. 2013). Trial-and-error associated with the
design and construction process can add to the cost of underwater projects and prevent them from
being completed in a timely manner. This can result in researchers avoiding the use of underwater
cameras, or selecting off-the-shelf cameras that can only record for short durations due to limitations
in battery life.
In this note, we describe a camera system that we constructed from components available at general
hardware and consumer electronics stores. There are four components to this system: the camera
itself, the external battery pack, the housing, and the mounting frame connected to the fishing gear
(or other structure) under examination. We devote most of this note to describing the construction
of the underwater camera housing, which is often the most expensive component to procure when
assembling a camera system for aquatic research. The underwater housing described in this note
was adapted from a design shared on a hobby website (Anonymous 2006). The total cost of compo-
nents for one housing was $145 USD (Supplementary Material 1).
With proper care taken in construction, the housing is capable of being safely used at depths up to
100 m. It is large enough to contain a small camera such as a Sony Action Cam with an additional bat-
tery pack, and the configuration we describe in this note is capable of recording full high-definition
videos at 1080p resolution for 13 h (Sony Corporation 2014). This note provides sufficient detail for
someone with limited technical experience to procure the materials and construct the underwater
camera housing. Our hope is that this note empowers researchers to construct inexpensive housings
that facilitate the collection of long-duration video recordings in aquatic environments.
Materials and methods
Camera components and necessary tools
We selected a Sony HDR-AS20 Action Cam and attached an Anker Astro E4 13 000 mAh battery
pack (any battery pack with at least a 10 000 mAh capacity and a USB connection should suffice) to
increase battery life and recording duration. Using a 128 GB Micro SDXC memory card, we were able
to record continuously for 13 h at 1080p resolution.
The tools required for this project comprise: pencil, marker, tape measure, ruler, calipers, miter saw
equipped with a plastic-cutting blade, band saw, lathe, scissors, fine sandpaper, masking tape, four
2 mm shims (we suggest using coins), string, steel punch, drill press, 1.95 mm (5/64) drill bit, and
a No. 1 green Robertson screwdriver. Figure 1 shows a completed housing, and Fig. 2 shows the
raw materials and hardware needed for its construction. Finally, Supplementary Material 2 demon-
strates how to execute each step of the construction process.
Construction of the underwater housing
To construct the underwater housing, detailed instructions are provided in Supplementary Material 3
with accompanying photos and text describing how to complete each step. We recommend using
these instructions while reviewing the accompanying video (Supplementary Material 2)toaidin
the construction process. These instructions guide the researcher through preparation of all the
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necessary components and assembly of the completed housing (Fig. 1). We also include a description
of each component and its price at the time of writing (Supplementary Material 1).
The housing itself consists of two main parts: the body of the housing and the end cap that latches
firmly onto the body to form a watertight seal. The body contains the camera and external battery,
and features a clear, acrylic viewport on the front end. The housing is constructed using 10.16 cm
diameter (4) schedule 40 (0.6 cm wall thickness) PVC piping components. We used schedule 40
PVC components as they are inexpensive, widely available, and durable. The components required
to construct the housing are widely available at most hardware stores, and the housing can be con-
structed and assembled with limited technical background using tools available in most workshops.
Construction of the housing does not take a large amount of time and is mostly limited by the time
required for the epoxies and adhesives to fully cure. For example, the final step in construction of
the housing requires the use of 3M5200 marine adhesive sealant, which specifies a cure time of
57 d. We estimate that preparation of the component pieces and actual assembly time should take
approximately 45h.
Use in the field, care, and maintenance
The underwater housing can be affixed to fishing gear or other structures. For our research project, we
built wooden frames to mount the camera systems to crab pots, similar to the designs of Jury et al.
(2001) and Favaro et al. (2012) (Fig. 3). We held the underwater housing firmly in place using a large
114165 mm diameter gear clamp that allowed for easy mounting and removal of the camera hous-
ing. Depending on the application, researchers must consider whether to add external lighting. If
external lighting is used, we recommend using lights capable of consistent illumination for the dura-
tion of video recording (to avoid illumination problems such as those experienced by Favaro et al.
2012). We also recommend red lights, as they are less visible to many marine organisms than
Fig. 1. Disassembled camera housing,
showing (A) all components prepared for
assembly, with part labels corresponding
with those in Fig. 2, and (B) completed
housing.
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Fig. 2. Components needed to construct the camera housing. Product renderings provided by McMaster-Carr
(Cleveland, Ohio, USA).
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full-spectrum lights (Goldsmith and Fernandez 1968;Widder et al. 2005;Weiss et al. 2006). In our
specific application, we used Light and Motion (Marina, California, USA) Gobe Plus flashlights
equipped with red light attachments (the Gobe Focus Head). We found it preferable to use lights with
red LEDs, as opposed to white LEDs covered by a red filter, because the red LED uses less energy to
produce the same intensity of light.
The underwater housing requires little maintenance. Although many housings require the use of
O-ring grease to facilitate the seal, we do not recommend doing so with our system because we found
that it can increase the chance of a leak. If the O-ring is kept clean and free from debris, compressional
force alone is enough to maintain a water-tight seal. Be sure to inspect the O-ring regularly for signs of
wear and damage. Additionally, if the housing is being used in a salt water environment, it is impor-
tant to rinse it thoroughly in fresh water after each use.
Hydrostatic pressure testing
The maximum safe operating depth for these housings depends on the care taken during the con-
struction process. Therefore, we recommend that all housings be tested for leaks either in a hydro-
static chamber if available or in the field at-depth before installing a camera inside. We recommend
testing empty camera housings at depths exceeding those intended for use in the study.
To measure the maximum safe operating depth of this housing design, we used a hydrostatic testing
chamber. We tested two housings: one that was built to the exact specifications outlined in this note
(housing A); and another that was built the same way, but with less sealant around the inside and
outside of the viewport (housing B). We tested each housing separately in the hydrostatic chamber
by steadily increasing the hydrostatic pressure to the point of failure (i.e., leakage or implosion).
We applied water-finding paste around the viewport and O-ring seal on the inside of each camera
housing to determine the entry point of leaks. Any contact with water would change the colour of
the paste from grey to purple and would indicate the location of a leak. Slow leaks inside the chamber
Fig. 3. Photographs depicting (A) a completed camera housing, (B) an example screen grab from a camera
system deployment, and (C) the fully assembled camera system, deployed at sea.
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were indicated by a gradual drop in pressure inside the chamber, whereas a catastrophic leak
(e.g., implosion) would be indicated by an instantaneous drop in pressure.
Results
We have used these underwater housings to conduct field-based research in coastal waters of
Newfoundland, Canada during the summer months of 2015 and 2016 to assess the efficiency of
two types of fishing gear designed to catch European green crab (Carcinus maenas)andAmerican
lobster (Homarus americanus), respectively. Field research was conducted under Experimental
Licenses NL-3133-15 and NL-3271-16 issued by Fisheries and Oceans Canada. The field research
only involved invertebrates; therefore, it was classified as a Category A study and was registered
with Memorial Universitys Animal Care Committee. We built a total of seven camera systems that
were deployed a total of 160 times, for a combined total of 2794 h underwater. Cameras were
deployed in depths ranging from 2 to 16 m, anywhere from 6 to 26 h duration. Across the entire
study, we experienced an incident where three camera housings experienced minor leaks on
the same day in 2015. We identified that the leakage was caused by the use of O-ring grease.
Compression forced the greased O-ring out of place, which compromised the seal and caused the
leak. As a result, we did not use O-ring grease during any other deployments and experienced no
further issues.
Hydrostatic pressure testing results
Housing A experienced a slow leak at 4760 kPa (equivalent to a depth of 470 m), and housing B
experienced a slow leak at 2000 kPa (equivalent to a depth of 200 m). The water-finding paste indi-
cated that in both camera housings the leaks occurred around the viewport. This large difference dem-
onstrated the importance of taking great care to seal the lens thoroughly. This also suggested that
increasing the thickness of the camera housing (e.g., by using schedule 80 PVC) would not necessarily
increase the depths at which this design could operate.
Discussion
Electronics change quickly, but the need to keep them dry does not. It is always necessary to procure
an underwater housing to record in situ video, and these housings are often among the most
expensive parts of a camera system. It is our observation that although the video quality of off-
the-shelf cameras has improved, and cameras have shrunk, they have not improved in their ability
to record long-duration videos as battery life and storage capacity are still limiting factors. It is
notable that newer action cameras are capable of recording in 4K resolution, but these videos are
more memory intensive than standard high definition. In addition, aquatic researchers are more
limited than their terrestrial counterparts in their ability to rely on motion sensors because of
the frequent movement of currents, vegetation, and particulate matter which contribute to false-
positive activations of the camera.
For our system, the total component costs at the time of writing were $145 USD for each housing,
$320 USD for the camera, memory card, and battery, and $40 USD for materials for the wooden
frame used to mount the cameras to our particular traps. The lighting solution that we used cost
$650 USD. The most cost-effective way to produce this housing is to build more than one at a time
because many materials (e.g., PVC pipe, O-rings) are sold in pre-set quantities or lengths, so this note
will leave the researcher with an excess of materials.
If researchers simply need to record short shallow water videos in well-lit environments, then an
action camera with an off-the-shelf housing is sufficient (see Struthers et al. 2015 for review). Time-
lapse cameras are cheap and widely available, but they do not allow the user to record long,
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continuous videos, which is a necessity for certain applications. In addition, most industrial fishing
occurs in water too deep for most consumer camera systems (Morato et al. 2006), so accessing these
depths for the length of time needed for fisheries research is more challenging. We see this housing
as filling an important niche: an extremely low-cost solution for researchers that need to record long
videos at shallow to moderate depths and that do not have access to the necessary funds to purchase
specialty equipment. In addition, although construction experience is helpful (especially in the use of
a lathe), we believe that a relatively low level of pre-existing technical skill is needed to follow these
instructions in comparison with other do-it-yourself camera options currently available
(e.g., Cazenave et al. 2014).
There are many uses for camera systems in underwater environments and their flexibility is only lim-
ited by the creativity of the researcher. To list a few applications, underwater cameras can be used to
study fish behaviour (Hammar et al. 2013;Binder et al. 2014;Domenici et al. 2014), monitor inter-
actions with fishing gear (Jury et al. 2001;Bacheler et al. 2013;Robbins et al. 2013), evaluate bycatch
reduction devices (Favaro et al. 2013;Cairns et al. 2014;Lomeli and Wakefield, 2014), assess abun-
dance and community structure (Clarke et al. 2012;Harasti et al. 2014), or map habitat and bathym-
etry (Schmidt and Rzhanov 2012). However, many studies involving action cameras are still limited
by the duration and quality of video they are able to record. We are hopeful that this detailed note will
make it easier for researchers to procure and use underwater cameras in their own research to facili-
tate long-duration video recordings in the underwater environment.
Acknowledgements
This project was funded by a Marine Environmental Observation Prediction and Response Network
(MEOPAR) grant to BF (grant EC1-BF-MUN), as well as by the Canadian Centre for Fisheries
Innovation (H-2015-06) and the Government of Newfoundland and LabradorsDepartmentof
Fisheries and Aquaculture (NH-77863). NZ and JAB were supported by Ocean Industry Student
Research Awards from the Research and Development Corporation of Newfoundland (5404-1914-
101 and 5404-1915-101, respectively). We thank Cynthia McKenzie, Kiley Best, and Kyle Matheson
for support in the field. We also thank the Fish, Food, and Allied Workers Union, ACAP Humber
Arm, Fisheries and Oceans Canada, Memorial Universitys Field Support Services, and the Bonne
Bay Marine Station. We thank Terry Bungay and Craig Hollett for contributing to hydrostatic testing
of camera housings. Music for supplementary video was provided by www.bensound.com under the
creative commons CC BY-ND 3.0 Unported license. Finally, we thank two anonymous reviewers
and Paul Winger for their thorough and timely feedback, which greatly improved this manuscript.
Author contributions
Conceived and designed the study: JAB, NZ, GL, BF. Performed the experiments/collected the data:
JAB, NZ, GL, BF. Analyzed and interpreted the data: JAB, NZ, GL, BF. Contributed resources: GL,
BF. Drafted or revised the manuscript: JAB, NZ, GL, BF.
Competing interests
BF is currently serving as a Subject Editor for FACETS, but was not involved in review or editorial
decisions regarding this manuscript.
Data accessibility statement
All relevant data are within the paper, the Supplementary Material, and on Figshare (see
Supplementary Material 2).
Bergshoeff et al.
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Supplementary material
The following Supplementary Material is available with the article through the journal website at
doi:10.1139/facets-2016-0048.
Supplementary Material 1: Detailed list of hardware for housing, product numbers for an online
hardware retailer, and price at time of writing.
Supplementary Material 2: https://dx.doi.org/10.6084/m9.figshare.4042932In this video we
demonstrate all steps necessary to construct the underwater camera housing described in the note.
Step numbers in the video correspond to each step in the supplementary material. Component labels
correspond with labeling in Fig. 2.
Supplementary Material 3: Fully annotated construction guide, including photos demonstrating
each step.
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... Two possible pressure housing designs (one homemade and the other commercially available) were tested and their key components are identified by letters in Figure 3. The first pressure housing (F) is made of Schedule 40 PVC pipe and based on [15] but with a longer tube. This housing is inexpensive (∼100 USD), made of readily available parts, and was pressure tested to water depths of at least 30 m (50 psi). ...
... All the instructions to build the custom PVC housing are in the supplementary material of Bergshoeff et al. [15]. The off-the-shelf 4" pressure housing can easily be ordered from the Blue Robotics website (https://bluerobotics.com/store/watertight-enclosures/4-series/wte4-asm-r1/). ...
... Both pressure housing designs used for the FishCam worked as intended in the field. While the homemade PVC design from [15] is less expensive, the commercial housing from Blue Robotics is more reliable and versatile, allowing more external connectors and sensors. Due to the light weight of the FishCam and its PVC frame, it is important to add enough ballast during deployment to limit risks of losing the instrument with strong currents. ...
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We describe the ”FishCam”, a low-cost (< 500 USD) autonomous camera package to record videos and images underwater. The system is composed of easily accessible components and can be programmed to turn ON and OFF on customizable schedules. Its 8-megapixel camera module is capable of taking 3280 × 2464-pixel images and videos. An optional buzzer circuit inside the pressure housing allows synchronization of the video data from the FishCamh passive acoustic recorders. Ten FishCam deployments were performed along the east coast of Vancouver Island, British Columbia, Canada, from January to December 2019. Field tests demonstrate that the proposed system can record up to 212 hours of video data over a period of at least 14 days. The FishCam data collected allowed us to identify fish species and observe species interactions and behaviors. The FishCam is an operational, easily reproducible and inexpensive camera system that can help expand both the temporal and spatial coverage of underwater observations in ecological research. With its low cost and simple design, it has the potential to be integrated into educational and citizen science projects, and to facilitate learning the basics of electronics and programming.
... Such Raspberry Pi-based cameras should be enclosed with a waterproof enclosure that is able to withstand long-term submersion. Off-the-shelf waterproof enclosures are available, however, a lower cost option is to build waterproof enclosure from consumer-grade materials [33]. Aside from the low-cost and accessibility of the Raspberry Pi-based underwater camera system, these devices are flexible and modular due to its opensource nature, e.g., the camera module or the embedded software can be upgraded easily by replacing the hardware and software parts. ...
... This waterproof enclosure is usually utilized in underwater remotely operated vehicles (ROVs) for subsea applications and is rated to handle 400 m depth. Another lower cost option of waterproof enclosure for this system is to innovate the designs of [26], [33]. For this study, the off-the-shelf waterproof enclosure is utilized to reduce the point of failures in constructing a custom waterproof enclosure. ...
Conference Paper
Optical vision-based system is one of the tools for non-invasive monitoring of freshwater fish ecosystems. This system can be utilized to gather visual data from underwater scenes (in the form of images and videos) that contains information about the freshwater fish environment. Currently, action camera with waterproof housing is the most common choice for underwater visual data acquisition, due to its low cost and accessibility. However, this type of underwater camera is limited by its on-board battery and storage capacities, which makes the operations of placement and retrieval of and the extraction of data from this camera being appended to the many manual processes of freshwater aquaculture management. In contrast, the proposed system automates the data acquisition process by developing an underwater camera system that automatically captures and stores data into local and remote storages. The proposed system is based on Raspberry Pi, an open-source computing platform that allows rapid prototyping, with low-cost, modularity, flexibility, and accessibility as the definite benefits. Upon several simulated runs, the proposed system was able to capture series of 8 MP underwater images during each scheduled acquisition instance at 6.244-6.528 frames per second. Moreover, proposed system was able to upload underwater images to the remote storage at 0.388-0.469 Mbps at 0-5.55% error.
... It is possible however to construct housings from tubing as a lower-cost alternative (e.g. PVC or acrylic as in Bergshoeff et al., 2017;Mouy et al., 2020;Purser et al., 2020). We used Blue Robotics housings so that we could fit a dome port rather than flat-port (camera mounted centrally in the ...
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Ecologists are now widely utilising video data to quantify the behaviours and interactions of animals in the wild. This process can be facilitated by collecting videos in stereo, which can provide information about animals' positions, movements and behaviours in three‐dimensions (3D). However, there are no published designs that can collect underwater 3D stereo data at high spatial and temporal resolutions for extended periods (days). Here, we present complete hardware and software solutions for a long‐running, open‐source, underwater stereo camera rig, costing £1337. This stereo camera can continuously record aquatic species and their behaviours/interactions in high resolution (1080 p and 30 fps) and in 3D, over multiple days. We provide full design guides for the cameras and a travel‐friendly rig, and include guidance and open‐source code for calibrating the cameras in space and time. We also show how these cameras could be used to track animals' body parts and positions, and how their size, posture and behaviour can be inferred. This stereo camera will facilitate the collection of high‐resolution ecological and behavioural data, such as affiliative, agonistic or trophic interactions between species, which can inform us about the health and structure of ecosystems. These data will assist ecologists and conservationists in monitoring and understanding the impacts of current environmental pressures on ecosystem functioning.
... Although running a sonar site can be more cost effective than running an index net, running multiple sonar sites in all tributaries may be challenging and expensive, especially if the sites are spread throughout the catchment. A multibeam sonar device has an advantage over UWCs in low-light conditions (Martignac et al. 2014), but the purchase price of a sonar can be up to 200 times higher than that of a UWC (Bergshoeff et al. 2017;O'Sullivan et al. 2023). The present results indicate that some of the tributaries in the Miramichi River system could also be monitored using only UWCs, without sonar. ...
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A combined imaging sonar and underwater camera method was tested for assessing the size of the adult Atlantic Salmon Salmo salar and Striped Bass Morone saxatilis populations in one of the main tributaries of the Miramichi River, New Brunswick, Canada. The number of fish recorded with the sonar in October was apportioned using the species ratio from the underwater camera data. The combined method estimated 358 Atlantic Salmon and 255 Striped Bass when the species ratio was applied every day, and 274 Atlantic Salmon and 337 Striped Bass when the monthly species ratio was applied. The counts were compared to catches in a downstream index trap net using estimated values for catchability of the trap net and for proportion of fish ascending to the same tributary. Depending on the estimated values, the sonar/camera counts were between 40% and 190% of the estimated Atlantic Salmon numbers in the index net. For Striped Bass, the same estimated catchability and proportion values produced a lower agreement (sonar count 5–24% of the adjusted catch) because unlike Atlantic Salmon, Striped Bass are not deterministically migrating up the tributary in the autumn. The fish were mostly detected overnight and the trends in daily numbers of fish detected with the combined sonar/camera method were similar to the catches at the index net, with most Atlantic Salmon being detected mid‐month and most Striped Bass at the end of the month. The similarity of the fish counts with the adjusted trap net catch and the new information about migration timing shows that the sonar and underwater camera combination can provide tributary‐specific and timely information of the Atlantic Salmon population in the Miramichi River.
... While the use of a Raspberry Pi camera for low-cost underwater imaging is not unique, few of these systems are designed for nor capable of reaching 1,500 m depth or more. (Almero et al., 2021;Bergshoeff et al., 2016;Marini et al., 2013;Marini et al., 2018;Marini et al., 2022). We also describe additional modules that are currently being engineered and suggest the construction of future modules to expand overall system capabilities. ...
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The deep sea (>200 m) is vast, covering 92.6% of the seafloor and largely unexplored. Imaging and sensor platforms capable of surviving the immense pressures at these depths are expensive and often engineered by individuals and institutions in affluent countries as unique, monolithic vehicles that require significant expertise and investment to build, operate, and maintain. Maka Niu was co-designed with a global community of deep-sea researchers. It is a low-cost, modular imaging and sensor platform that leverages off-the-shelf commodity hardware along with the efficiencies of mass production to decrease the price per unit and allow more communities to explore previously unseen regions of the deep ocean. Maka Niu combines a Raspberry Pi single-board computer, a Pi Camera Module V2, and a novel pressure housing and viewport combination capable of withstanding 1,500 m water depth. Other modules, including high-lumen LEDs, can be engineered to use the same battery charging and control system and form factor, allowing for an ever-increasing number of capabilities to be added to the system. After deployment, imagery and sensor data are wirelessly uploaded to Tator, an integrated media management and machine learning backend for automated analysis and classification. Maka Niu’s mobile mission programming and data management systems are designed to be user-friendly. Here, Maka Niu is described in detail along with data and imagery recorded from deployments around the world.
... The 3 waterproof tubular aluminum enclosure is usually utilized for subsea applications. [21] and [22] Vol.26 No.5, 2022 ...
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The understanding of vision-based data acquisition and processing aids in developing predictive frameworks and decision support systems for efficient aquaculture monitoring and management. However, this emerging field is confronted by a lack of high-quality underwater visual data, whether from public or local setups and high cost of development. In this regard, an underwater camera that captures underwater images from an inland freshwater aquaculture setup was proposed. The components of the underwater camera system are primarily based on Raspberry Pi, an open-source computing platform. The underwater camera continuously provides a real-time video streaming link of underwater scenes, and the local processor periodically acquires and stores data from this link in the form of images. These data are stored locally and remotely. Based on the results of the developed low-cost underwater camera, it captures and differentiate fish region to its background before and after flushing as influenced by turbidity. Hence, the developed camera can be used for both aquarium and inland aquaculture pond setup for fish monitoring.
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AquaticVID is a low-cost, long battery life video camera system for use in a wide-range of aquatic research applications. The system can be deployed for multiple day recording on a single charge, is submersible to depths of down to 950 m and can be constructed quickly using easily sourced off-the-shelf materials. The system is essentially 'plug-and-go', as assembly and preparation for deployment takes < 30 minutes without the need for technical build or programming skills. All of the electrical components are interchangeable with parts from multiple manufacturers and the camera system can be adapted to fit a variety of waterproof enclosure sizes depending on power and data storage requirements. Here, we describe three versions of the AquaticVID in detail and give examples of above and below water research undertaken with the system. The small size and extended battery times, coupled with ease of use and low cost (US$ 268-540) make the AquaticVID a useful option for numerous aquatic research applications.
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In the present social media-bound lifestyle, capturing memories and keeping them accessible is gaining a significant demand globally. For this purpose, a robust, portable camera system for recreational or commercial purposes can be of substantial advantage to society. Aqua-Vision intends to bring an affordable underwater camera system with various innovative features to the hands of consumers. The smart module consists of a waterproof gimbal camera that can be used underwater, providing a hassle-free and reliable user experience and offers rotary motion along two axes. The camera features various general modes like panorama, burst shot, and smart modes using inbuilt computer vision algorithms. The gimbal camera setup can be controlled and switched remotely between all possible modes using a mobile application. All the above features will allow the user to capture photos/videos in any possible setup and use the camera module for various applications. The advent of such innovative, convenient, and robust modules will help cater to the market demands effectively.
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Video monitoring systems are successfully widely used in many on-land artificial intelligence applications. They have been introduced into fishery production in recent years, such as video-based live fish detection and biomass estimation. Such ways help protect the sea environment by avoiding overstocking and pollution by ocean disasters or human mistakes in the production. However, underwater detection and segmentation are now still challenging because of the complex and volatile environment. The paper proposes an efficient underwater fish school segmentation framework for live fish detection and counting in the high-density cage. Adaptive multi-scale Gaussian background models are first constructed frame by frame to separate the foreground fish groups from the background seawater. The fish groups are then divided into individual fish by density estimation using directional weighted convolution kernels. No other underwater video pre-processing algorithms are introduced in the framework. The framework only needs real-time video frames as input. It uses online segmentation algorithms to detect and count live fish. No other pre-collected labeled videos are used to train and fine-tune the framework. It shows robust detection and statistics results in a natural aquaculture deep-sea cage.
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Digital action cameras (ACs) are increasingly being utilized for aquatic research purposes due to their cost effectiveness, versatility, high-resolution imagery, and durability. Here we review the advantages of AC technology in research, with particular emphases on (a) research videography (both in the field and the laboratory), (b) animal-borne studies, and (c) outreach and education purposes. We also review some of the limitations of this technology as represented by environmental factors (e.g., depth, turbidity) and deployment considerations (e.g., lens choices, imaging settings, battery life). As AC technologies evolve in response to growing public interest in their application versatility, researchers are indirectly reaping the rewards, with technological advances that are innovative, cost-effective, and can withstand frequent use in dynamic and rugged field conditions. With such a diversity of options available, future usefulness of ACs in research will only be limited by the creativity of the scientists using them.
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The capture of non-target species is a conservation issue in many commercial fisheries. Bycatch reduction devices (BRDs) are commonly used as mitigation tools to improve selectivity of fishing gear and thus reduce bycatch. The aim of this paper was to refine a simple BRD to exclude 4 species of freshwater turtles from commercial fyke nets in a fishery in eastern Ontario, Canada, that targets a variety of fish species. We tested the efficacy of modified exclusion devices (vertically oriented exclusion bars and a constriction rectangle) using an adaptive approach including in situ observations, controlled behavioural experiments and field trials. In situ observations made by camera were used to estimate turtle catchability and to document turtle behaviour during net interactions, which was used to inform BRD design and placement. In controlled behavioural experiments, the passage rates of target fish (i.e. sunfish), bycatch fish (e.g. game fish) and turtles across a modified net throat suggested that a 5 cm constriction rectangle should be suitable for reducing bycatch in this fishery; turtles readily turned sideways to pass through larger openings. Paired field trials indicated that a 5 cm constriction rectangle reduced turtle bycatch for all species. The constriction rectangle also reduced captures of non-target game fish. In controlled behavioural experiments, there was little evidence of a reduction in catches of target sunfish; however, in paired field trials, there was a 23.4% reduction in sunfish catches. We recommend the use of a 5 cm constriction rectangle for fisheries targeting sunfish in areas where freshwater turtles are present.
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Bacheler, N. M., Schobernd, Z. H., Berrane, D. J., Schobernd, C. M., Mitchell, W. A., and Geraldi, N. R. 2013. When a trap is not a trap: converging entry and exit rates and their effect on trap saturation of black sea bass (Centropristis striata) – ICES Journal of Marine Science, 70: 873–882. Catch rates are often used to index the abundance of marine organisms, but catch saturation (i.e. declining catch rate as fishing time increases) can decouple catch and abundance. Researchers have struggled to account for saturation when using trap catch to infer population dynamics. We used the underwater video to document entries and exits of black sea bass (Centropristis striata) from chevron traps (n = 26) to quantify catch saturation. Black sea bass catch varied between 3 and 188 individuals for soak times of ∼90 min. Overall, 3564 black sea bass entered the traps and 1826 exited; therefore, over half (51%) of black sea bass entering traps exited before traps were retrieved. Black sea bass catch rates were non-linear and asymptotic for most (81%) trap samples, despite short soak times. Moreover, catch saturation occurred at 50 min, when the entry rate declined and the exit rate increased to a point where their confidence intervals overlapped. Several lines of evidence suggest that the level of black sea bass catch once saturation occurred may be positively related to true abundance, but additional research is needed to more fully test this hypothesis.
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International efforts to reduce the ecological impacts of fishing activity, including by-catch, seabed impacts, and carbon footprint, have encouraged the rapid advancement of fishing gear technology during the past few decades. However, prior to conducting gear modifications, a better understanding of animal behaviour in relation to the fishing gear is often required. The use of self-contained underwater camera systems to observe and quantify such behaviour began in the 1960s and today underwater camera systems are ubiquitous across all major research institutes, government agencies, and large fishing companies. This paper outlines the development and evaluation of a new high definition (HD 1080i/720p) digital video system for observing fish behaviour in relation to fishing gear. Under laboratory conditions, we compare the performance of the new system to four similar camera systems used during the last decade. Our laboratory study results revealed that HD video improved image quality by up to 20% and allowed characteristics of objects as thin as 4 mm to be observed underwater from 4.0 m away. We also tested the HD camera system’s performance at sea attached to an offshore groundfish trawl and found that flatfish such as yellowtail flounder (Limanda ferruginea) could be identified to the species level with a high degree of certainty (72%), something not capable with traditional standard definition camera systems. Although HD cameras increase the image quality, they are limited to shallow environments (< 100m) when operated without the use of artificial lights. Even with the depth restrictions, the HD camera system provides digital solid state recording devices that are more adaptable to the underwater environment than traditional standard definition camera systems.
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A lobster-trap video (LTV) system was developed to determine how lobster traps fish for Homarus americanus and how behavioural interactions in and around traps influence catch. LTV consists of a low-light camera and time-lapse video cassette recorder (VCR) mounted to a standard trap with optional red LED arrays for night observations. This self-contained system is deployed like a standard lobster trap and can collect continuous video recordings for >24 h. Data are presented for 13 daytime deployments of LTV (114 h of observation) and 4 day and night deployments (89 h of observation) in a sandy habitat off the coast of New Hampshire, USA. Analyses of videotapes revealed that traps caught only 6% of the lobsters that entered while allowing 94% to escape. Of those that escaped, 72% left through the entrance and 28% through the escape vent. Lobsters entered the trap at similar rates during the day and night and in sandy and rocky habitats. Lobsters generally began to approach the trap very shortly after deployment, and many appeared to approach several times before entering. These data confirm the results of previous laboratory-based studies in demonstrating that behavioural interactions in and around traps strongly influence the ultimate catch.
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Spawning behavior of lake trout, Salvelinus namaycush, is poorly understood, relative to stream-dwelling salmonines. Underwater video records of spawning in a recovering population from the Drummond Island Refuge (Lake Huron) represent the first reported direct observations of lake trout spawning in the Laurentian Great Lakes. These observations pro-vide new insight into lake trout spawning behavior and expand the current conceptual model. Lake trout spawning consisted of at least four distinct behaviors: hovering, traveling, sinking, and gamete release. Hovering is a new courtship behavior that has not been previously described. The apparent concentration of hovering near the margin of the spawning grounds suggests that courtship and mate selection might be isolated from the spawning act (i.e., traveling, sinking, and gamete release). Moreover, we interpret jockeying for position displayed by males during traveling as a unique form of male-male competition that likely evolved in concert with the switch from redd-building to itinerant spawning in lake trout. Unlike previous models, which suggested that intra-sexual competition and mate selection do not occur in lake trout, our model includes both and is therefore consistent with evolution-ary theory, given that the sex ratio on spawning grounds is skewed heavily towards males. The model presented in this paper is intended as a working hypothesis, and further revision may become necessary as we gain a more complete understanding of lake trout spawning behavior.
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The istiophorid family of billfishes is characterized by an extended rostrum or 'bill'. While various functions (e.g. foraging and hydrodynamic benefits) have been proposed for this structure, until now no study has directly investigated the mechanisms by which billfishes use their rostrum to feed on prey. Here, we present the first unequivocal evidence of how the bill is used by Atlantic sailfish (Istiophorus albicans) to attack schooling sardines in the open ocean. Using high-speed video-analysis, we show that (i) sailfish manage to insert their bill into sardine schools without eliciting an evasive response and (ii) subsequently use their bill to either tap on individual prey targets or to slash through the school with powerful lateral motions characterized by one of the highest accelerations ever recorded in an aquatic vertebrate. Our results demonstrate that the combination of stealth and rapid motion make the sailfish bill an extremely effective feeding adaptation for capturing schooling prey.
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1. Behavioural research in deep water (>40 m depth) has traditionally been expensive and logistically challenging, particularly because the light and sound produced by underwater vehicles make them unsuitably disruptive. Yet, understanding the behaviour of deep-water animals, especially those targeted by exploitation, is important for conservation. For example, understanding interactions between animals and deep-water fishing gear could inform the design of devices that minimize bycatch. 2. We describe the ‘TrapCam’, a self-contained, high-definition video system that requires neither the support of a vessel once deployed nor special equipment to deploy or retrieve. This system can record 13-h videos at 1080p resolution and is deployable on any substrata at depths of up to 100 m. The system is inexpensive (<$3000 USD), versatile and suited to the study of animal behaviour at depths inaccessible to scuba divers. 3. We evaluate the performance and cost effectiveness of TrapCam and analyse videos retrieved from pilot deployments to observe spot prawn (Pandalus platyceros) traps at 100 m depth. Preliminary analyses of animal–prawn trap interactions yield novel insights. We provide future directions for researchers to use this type of camera system to study deep water-dwelling species around the world.
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Scientists and engineers at the Monterey Bay Aquarium Research Institute (MBARI) have collaborated to develop SeeStar, a modular, light weight, self-contained, low-cost subsea imaging system for mid- to long-term monitoring of marine ecosystems. SeeStar is composed of separate camera, battery, and LED lighting modules, each rated to 300 meters depth. The system can be deployed in a variety of scenarios utilizing stills and video and can be operated either autonomously or tethered on a range of platforms, including ROVs, AUVs, landers, piers, and moorings. The priorities for implementation included using off-the-shelf and readily available components as much as possible, and providing all designs, schematics and fabrication documents online as open source, so that others can easily build and adapt the camera system for their own uses. The long-term goal of this project is to have a widely distributed marine imaging network across thousands of locations, to develop baselines of biological information.