Same processor
ATSAMD21G18A
Adafruit Feather M0 Adalogger
Main board
Monterey Bay Aquarium, MBARI, SharkEye, Adobe Stock-boxerx
own shark cam: it’s open source hardware and
software. Maughan (a Make: reader, incidentally)
taught intern Gabriel Santos a crash course in
electronics he dubbed TechFest, then Santos built
the camera tags and shared the project at github.
com/thommaughan/sharkcafecam. Santos,
now a biologist, continues to lead TechFests at
CalPoly, teaching the next generation of biologists
to use Arduinos and sensors.
Packard’s goal was to put better tech in the
hands of biologists, so Maughan’s team shared
their knowledge with Customized Animal
Tracking Solutions (cats.is) to help them develop
the CATS Cam (Figure
B
), now deployed by
researchers worldwide on sharks, whales,
manta rays, and sea turtles. Jorgensen’s work
with CATS Cams revealed in 2019 that white
sharks in South Africa don’t avoid kelp forests
— myth busted — but cruise them routinely, bad
news for seals and surfers.
Meanwhile, MBAs California tagging program
keeps producing amazing discoveries. Turns out
even great whites are afraid of something: they’ll
flee their feeding grounds for up to a year after a
single encounter with an orca.
The shark tracker’s toolkit also includes
archival tags (basic data loggers) and pop-up
satellite archival tags (PSATs) which, like the
camera tracker, release from the animal, float,
and report their data to the Argos satellite
network (clsamerica.com/science-with-argos).
There are satellite positioning tags that report
location constantly, GSM tags that report to
cellular networks, and acoustic tags that ping a
high-frequency unique ID code thats picked up by
receivers listening on the sea floor or afloat.
For do-it-yourselfers, David Mann’s
Loggerhead Instruments shared their well-
regarded OpenTag motion and depth logger
(loggerhead.com/opentag-motion-datalogger) at
github.com/loggerhead-instruments/OpenTag3.
And SparkFun now sells an open source Argos
satellite transceiver shield (sparkfun.com/
products/17236) that piggybacks onto their line of
Thing Plus microcontrollers.
In recent years, scientists have increasingly
turned to drone cameras to spot, follow,
and record sharks (researchgate.net/
publication/348668975), ranging from typical
multirotors like the DJI Phantom to full custom
underwater robots like Woods Hole’s REMUS AUV.
But whats really new is the addition of artificial
intelligence to detect sharks automatically. The
SharkEye project by UC Santa Barbara and San
Diego State University (Figure
C
) uses aerial
drone video and Salesforce AI to identify great
white sharks at a beach with 95% accuracy and
send notifications to the local community.
A
B
C
45
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