Paper Info
Title
An integral automation of industrial fruit and vegetable sorting by machine vision
Abstract
Intensive fruit and vegetable sorting is a common task in productive regions. In order to meet the market standards, produce is classified according to quality levels that depend on maturity degree, weight, size, density, skin defects, etc. Probably the most important of these tasks involve automatic visual inspection. A distributed and scalable system for sorting automation is presented, that addresses all aspects of the quality classification mentioned above. The main characteristics of the system are: it can control from 1 to 10 conveyor belts; its maximum performance is 15 fruits per second per belt; apart from weight sensors, it combines infrared, color and ultraviolet images; some fruit defect modules are available to take account of the presence of a given defect.
Year
DOI
Venue
2001
10.1109/ETFA.2001.997731
ETFA (2)
Keywords
Field
DocType
CCD image sensors,automatic optical inspection,computer vision,controller area networks,food processing industry,graphical user interfaces,image colour analysis,image segmentation,infrared detectors,quality control,ultraviolet detectors,automatic visual inspection,color images,conveyor belts,density,distributed scalable system,industrial fruit and vegetable sorting,infrared images,integral automation,machine vision,market standards,maturity degree,quality levels,size,skin defects,sorting automation,ultraviolet images,weight
Visual inspection,Machine vision,Automation,Real-time computing,Image segmentation,Sorting,Graphical user interface,Scalable system,Engineering,Ultraviolet detectors
Conference
Volume
ISBN
Citations 
2
0-7803-7241-7
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Filiberto Pla155760.06
José Miguel Sanchiz Martí281.76
José Salvador Sánchez318415.36
Sanchiz, J.M.470.98