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Application of automated image analysis to the identification and extraction of recyclable plastic bottles
- Source :
- Journal of Zhejiang University-SCIENCE A. 10:794-799
- Publication Year :
- 2009
- Publisher :
- Zhejiang University Press, 2009.
-
Abstract
- An experimental machine vision apparatus was used to identify and extract recyclable plastic bottles out of a conveyor belt. Color images were taken with a commercially available Webcam, and the recognition was performed by our homemade software, based on the shape and dimensions of object images. The software was able to manage multiple bottles in a single image and was additionally extended to cases involving touching bottles. The identification was fulfilled by comparing the set of measured features with an existing database and meanwhile integrating various recognition techniques such as minimum distance in the feature space, self-organized maps, and neural networks. The recognition system was tested on a set of 50 different bottles and provided so far an accuracy of about 97% on bottle identification. The extraction of the bottles was performed by means of a pneumatic arm, which was activated according to the plastic type; polyethylene-terephthalate (PET) bottles were left on the conveyor belt, while non-PET bottles were extracted. The software was designed to provide the best compromise between reliability and speed for real-time applications in view of the commercialization of the system at existing recycling plants.
- Subjects :
- Engineering
Hardware_MEMORYSTRUCTURES
business.product_category
business.industry
Machine vision
Feature vector
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
General Engineering
Conveyor belt
Set (abstract data type)
Identification (information)
Software
Pattern recognition (psychology)
Bottle
Computer vision
Artificial intelligence
business
Subjects
Details
- ISSN :
- 18621775 and 1673565X
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Journal of Zhejiang University-SCIENCE A
- Accession number :
- edsair.doi...........cfc4f1318fce09b252300f6edcf6f868