A Two-Mode Underwater Smart Sensor Object for Precision Aquaculture Based on AIoT Technology

A Two-Mode Underwater Smart Sensor Object for Precision Aquaculture Based on AIoT Technology

Monitoring the status of culture fish is an essential task for precision aquaculture using a smart underwater imaging device as a non-intrusive way of sensing to monitor freely swimming fish even in turbid or low-ambient-light waters. This paper developed a two-mode underwater surveillance camera sy...

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Bibliographic Details
Main Authors: Chin-Chun Chang, Naomi A. Ubina, Shyi-Chyi Cheng, Hsun-Yu Lan, Kuan-Chu Chen, Chin-Chao Huang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
sonar images
stereo RGB images
Mask R-CNN
gaussian mixture models
convolutional neural networks
semantic segmentation networks
Online Access:https://www.mdpi.com/1424-8220/22/19/7603

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https://www.mdpi.com/1424-8220/22/19/7603

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