A Comprehensive study of the effectivity of color indexing using a large database in plastic bottle sorting

Date of Publication

2001

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Manufacturing Engineering and Management

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Honor/Award

Awarded as best thesis, [2001]

Thesis Adviser

Christopher Syling

Abstract/Summary

Plastic bottle recycling has been a government effort to help in the country's solid waste management. There have been a number of ways on how to sort plastic bottles to be recycled. Some sort by color, others sort by chemical composition, and others sort by the shape of the bottle. Each group has different opinions on which system works best with the least amount of error.

The group has decided to test the ability and efficiency of sorting plastic bottles for recycling by employing the color indexing method using a large database. The system uses a large database of images collected from different bottles in all its conceivable appearances and positions. The bottles are transported using a conveyor. A camera then captures the image of the bottle, while the computer processes the image, and looks for a match in its collected database. When the image is identified, the bottle is pushed to its respective container bin, and is ready for the next step in the recycling process.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU15266

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

ix, 75, [112] leaves : ill. ; 28 cm.

Keywords

Plastic bottles; Plastic bottles--Recycling; Recycling (Waste; etc); Refuse and refuse disposal; Image analysis--Data processing

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