Picoastal: A low-cost coastal video monitoring system

被引:2
|
作者
Stringari, Caio Eadi [1 ,2 ]
Power, Hannah [1 ]
机构
[1] Univ Newcastle, Sch Environm & Life Sci, Coll Engn Sci & Environm, Newcastle, NSW, Australia
[2] BGC Engn, Vancouver, BC, Canada
关键词
Coastal monitoring; Beaches; Computer vision; Image processing; Raspberry Pi; MORPHOLOGY;
D O I
10.1016/j.softx.2022.101073
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper presents the code supporting a low-cost video camera system designed for monitoring nearshore environments (e.g., sandy beaches, rocky shores) based on the low-cost Raspberry Pi computer board and the python programming language. The product described here (picoastal) is able to perform all major tasks (e.g., video recording, statistical image calculation, and geo-referencing) that other commercial, more expensive systems provide at a fraction of the cost (under US$500). Picoastal is, therefore, targeted at coastal researchers and managers in search of a low-cost and open-source alternative to monitor their shores for threats such as coastal erosion and for general beach-goer safety. (C) 2022 The Authors. Published by Elsevier B.V.
引用
收藏
页数:7
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