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

来源：

SOFTWAREX | 2022年 / 18卷

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

页数：7

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