A Computer Vision Based Detection System for Trash Bins Identification during Trash Classification

14Citations
Citations of this article
25Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this study, an image based detection system is designed and applied to identify different trash bins for classification. The CCD industrial camera is used to obtain the RGB format images on the trash disposal line in real time. In order to reduce the effect of environmental brightness, the obtained RGB format images are transformed into HSI color format. According to the calculated saturation and hue values, the threshold of saturation and hue values is set for the following image segmentation, respectively. Then, accurate position information of trash bin is obtained for the subsequent classification processing. This detection system could overcome environmental constraints and improve efficiency for trash classification.

Cite

CITATION STYLE

APA

Yu, Y. (2020). A Computer Vision Based Detection System for Trash Bins Identification during Trash Classification. In Journal of Physics: Conference Series (Vol. 1617). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1617/1/012015

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free