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Intelligent Controlling System in Aquaculture

Published: 27 September 2021 Publication History

Abstract

In traditional fish farms, all work requires a lot of human resources. Whether it is feeding fish, temperature monitoring, etc. These tasks require a lot of manpower. Due to lack of manpower or human negligence, the fish dies, and then cause economic losses to the owners of the fish farms. In this study, two computers are used for image processing. One is to run image processing to detect objects when an object intrudes in the fish farm and use the Arduino to control the pan/tilt motor to rotate the lens and laser to drive away the invading object. Another computer is used as a real-time image server, and the user can use the APP to receive real-time image of fish farm.

References

[1]
https://www.instructables.com/id/Face-Tracking-Device-Python-Arduino/
[2]
https://spicyboyd.blogspot.com/2018/05/appandroid-webview-app.html?m=1
[3]
https://www.raspberrypi.com.tw/10684/55/

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cover image ACM Conferences
ACM ICEA '20: Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications
December 2020
219 pages
ISBN:9781450383042
DOI:10.1145/3440943
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 September 2021

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Author Tags

  1. Image processing
  2. micro controller
  3. signal processing

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  • Short-paper
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  • Refereed limited

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ACM ICEA '20
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