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

Yue Yu

2020Journal of Physics Conference Series17 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

HueRGB color modelArtificial intelligenceComputer visionBinBrightnessComputer scienceSegmentationIdentification (biology)Pattern recognition (psychology)Image processingImage (mathematics)OpticsPhysicsAlgorithmBiologyBotanyRecycling and Waste Management TechniquesAdvanced Neural Network ApplicationsMunicipal Solid Waste Management
A Computer Vision Based Detection System for Trash Bins Identification during Trash Classification | Litcius