Red snow crab habitat monitoring using autonomous deep sea camera
An autonomous underwater camera is developed for monitoring the red snow crab habitat in deep sea. Most of the deep sea cameras are designed such that they can be used with special deep sea exploration instruments such as underwater vehicles. However, a developed camera can be attached to the fish t...
Published in: | 2017 IEEE Underwater Technology (UT) |
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Online Access: | https://oasis.postech.ac.kr/handle/2014.oak/47950 |
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ftponangunivst:oai:oasis.postech.ac.kr:2014.oak/47950 2023-05-15T18:20:06+02:00 Red snow crab habitat monitoring using autonomous deep sea camera 조현우 조한길 유선철 조현우 조한길 유선철 2017-02-23 https://oasis.postech.ac.kr/handle/2014.oak/47950 English eng IEEE Oceanic Engineering Society IEEE OES International Symposium on Underwater Technology 2017 Busan 2017 IEEE Underwater Technology https://oasis.postech.ac.kr/handle/2014.oak/47950 46694 Conference CONF 2017 ftponangunivst 2022-10-20T20:28:59Z An autonomous underwater camera is developed for monitoring the red snow crab habitat in deep sea. Most of the deep sea cameras are designed such that they can be used with special deep sea exploration instruments such as underwater vehicles. However, a developed camera can be attached to the fish traps for catching the red snow crab, and fishermen who are not underwater camera experts can handle this camera as well. Because the camera is an all-in-one type device that includes all electrical components for video recording such as the camera module, lights, and battery in a single cylindrical pressure housing, the camera can be used for periodical and frequent deep sea video recording along with fishing operations. Red snow crabs living on the seafloor, 1,000 m deep, are recorded using the camera, and the seasonal change in their activity is monitored 1 1 Conference Object Snow crab Pohang University of Science and Technology (POSTECH): Open Access System for Information Sharing (OASIS) 2017 IEEE Underwater Technology (UT) 1 6 |
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Pohang University of Science and Technology (POSTECH): Open Access System for Information Sharing (OASIS) |
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ftponangunivst |
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English |
description |
An autonomous underwater camera is developed for monitoring the red snow crab habitat in deep sea. Most of the deep sea cameras are designed such that they can be used with special deep sea exploration instruments such as underwater vehicles. However, a developed camera can be attached to the fish traps for catching the red snow crab, and fishermen who are not underwater camera experts can handle this camera as well. Because the camera is an all-in-one type device that includes all electrical components for video recording such as the camera module, lights, and battery in a single cylindrical pressure housing, the camera can be used for periodical and frequent deep sea video recording along with fishing operations. Red snow crabs living on the seafloor, 1,000 m deep, are recorded using the camera, and the seasonal change in their activity is monitored 1 1 |
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조현우 조한길 유선철 |
format |
Conference Object |
author |
조현우 조한길 유선철 |
spellingShingle |
조현우 조한길 유선철 Red snow crab habitat monitoring using autonomous deep sea camera |
author_facet |
조현우 조한길 유선철 |
author_sort |
조현우 |
title |
Red snow crab habitat monitoring using autonomous deep sea camera |
title_short |
Red snow crab habitat monitoring using autonomous deep sea camera |
title_full |
Red snow crab habitat monitoring using autonomous deep sea camera |
title_fullStr |
Red snow crab habitat monitoring using autonomous deep sea camera |
title_full_unstemmed |
Red snow crab habitat monitoring using autonomous deep sea camera |
title_sort |
red snow crab habitat monitoring using autonomous deep sea camera |
publisher |
IEEE Oceanic Engineering Society |
publishDate |
2017 |
url |
https://oasis.postech.ac.kr/handle/2014.oak/47950 |
genre |
Snow crab |
genre_facet |
Snow crab |
op_relation |
IEEE OES International Symposium on Underwater Technology 2017 Busan 2017 IEEE Underwater Technology https://oasis.postech.ac.kr/handle/2014.oak/47950 46694 |
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2017 IEEE Underwater Technology (UT) |
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1766197570402516992 |