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Development of a stereo deepwater Baited Remote Underwater Video System (DeepBRUVS)

conference contribution
posted on 2023-05-23, 12:24 authored by Marouchos, A, Sherlock, M, Barker, B, Williams, A
Marine researchers aiming to acquire composition and size-frequency information on fish assesmblages have successfully used Baited Underwater Video Systems (BRUVS) as a non-extractive alternative to more traditional sampling methods using nets or traps. In a monitoring study of gulper shark populations on the eastern Australian upper continental slope (300-700 m depths), it was necessary to re-design the BRUVS lander to enhance its capabilities. The DeepBRUVS lander was designed to allow self contained and independent deep water operation (up to 1000m), with an extended deployment period of up to six months. DeepBRUVS is equipped with a stereo video system, lighting, and a bait release mechanism that permits multiple replicate video samples to be taken. The data will be used to provide relative abundance and size data as indicators of the viability of gulper shark populations protected within fishery closed areas. This paper discusses the design, prototyping and deployment of DeepBRUVS. The mechanical design of the bait piston, and camera assembly are reviewed in detail, along with a discussion of free fall and ascent dynamics. Bait types, bait release schedules, and camera recording sequences are also reviewed. The paper also discusses potential future additions and system improvements.

History

Publication title

2011 IEEE - Spain OCEANS

Pagination

1634-1638

ISBN

978-145770086-6

Department/School

Institute for Marine and Antarctic Studies

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

USA

Event title

2011 IEEE – Spain OCEANS

Event Venue

Santander, Spain

Date of Event (Start Date)

2011-06-06

Date of Event (End Date)

2011-06-09

Rights statement

Copyright 2011 Crown

Repository Status

  • Restricted

Socio-economic Objectives

Other environmental management not elsewhere classified

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