Aquatic Debris Detection Using Embedded Camera Sensors

Sensors

Yong Wang¹  Dianhong Wang¹  Qian Lu²  Dapeng Luo¹ 

[1] Faculty of Mechanical and Electronic Information, China University of Geosciences, Wuhan 430074, China; E-Mails:;Department of Geological Science and Engineering, Wuhan University of Engineering Sciences, Wuhan 430200, China; E-Mail:

关键词: aquatic monitoring;    camera sensors;    object detection;    compressive sensing;   

DOI  :  10.3390/s150203116

来源: mdpi

【 摘 要 】

Aquatic debris monitoring is of great importance to human health, aquatic habitats and water transport. In this paper, we first introduce the prototype of an aquatic sensor node equipped with an embedded camera sensor. Based on this sensing platform, we propose a fast and accurate debris detection algorithm. Our method is specifically designed based on compressive sensing theory to give full consideration to the unique challenges in aquatic environments, such as waves, swaying reflections, and tight energy budget. To upload debris images, we use an efficient sparse recovery algorithm in which only a few linear measurements need to be transmitted for image reconstruction. Besides, we implement the host software and test the debris detection algorithm on realistically deployed aquatic sensor nodes. The experimental results demonstrate that our approach is reliable and feasible for debris detection using camera sensors in aquatic environments.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.