Automated rice classifier
Date of Publication
2002
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
Thesis Adviser
Lord Kenneth M. Pinpin
Defense Panel Chair
Nilo T. Bugtai
Defense Panel Member
Mark Jansson L. Kho
Marty Marx Teng
Abstract/Summary
The Automated Rice Classifier separates a 100g sample into three sub-samples, Headrice, Brokens, and Brewers by use of perforated sheets. It incorporates a vision system that captures the total surface area of each sub-sample and calculates the percentages of each sub-sample of the total sample. The software then processes these percentages using NFA Standards for Milled Rice and determines into which grade the rice sample falls into.
It consists of the shaker mechanism, a control box, and capturing pan area. The shaker mechanisms movements make use of pneumatic actuators. Movements that include the oscillating motion, tilting motion, and tray door opening motion. These pneumatics are controlled by the software via interfacing circuit using opto-isolators, a relay driver, and relays. The software implements these movements either through pre-programmed intervals or manual operation.
The software filters the captured image contained in the capturing pan area. Using a histogram to more accurately determine threshold level the rice grain is separated from the background using a threshold filter. The total surface area is then counted.
Abstract Format
html
Language
English
Format
Accession Number
TU15345
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) : ill. (some col.) ; 28 cm.
Keywords
Rice; Rice--Processing--Machinery
Recommended Citation
Chua, M. K., Estonina, C., Gonzales, F. M., Pangan, J. G., & Quia, N. G. (2002). Automated rice classifier. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14610