DocumentCode :
639017
Title :
Multimedia inorganic waste separator
Author :
Omar, Longoria-Gandara ; Oscar, Rodea-Aragon ; Andres, Torres-Garcia ; Francisco, Sanchez-Garcia
Author_Institution :
Dept. of Electron., ITESO-Jesuit Univ. of Guadalajara, Guadalajara, Mexico
fYear :
2013
fDate :
15-19 July 2013
Firstpage :
1
Lastpage :
4
Abstract :
Nowadays, trash has become a problem in society and to the ecosystem by the way it is gotten rid of. Most of the garbage gets buried or burned and even thrown away in places where it doesn´t belong. With high proportions of garbage that are thrown away, and the methods used to store them, causes air, water, and soil pollution. Fortunately, people can count on other methods to reduce the quantity of litter it is produced. Recycling is an answer by re-using the materials. There are also different containers available in some places for individual kinds of waste by easing their classification. The aim of this paper is to present an intelligent waste separator (TrashCan) that will replace the recycle bins; this will income waste and place it into different containers by using a multimedia embedded processor, image processing, and pattern recognition in order to make the selection of garbage.
Keywords :
embedded systems; environmental science computing; human computer interaction; image processing; multimedia computing; waste; TrashCan; ecosystem; human machine interface; image processing; intelligent waste separator; multimedia embedded processor; multimedia inorganic waste separator; pattern recognition; recycle bins; recycling; soil pollution; Classification algorithms; Containers; Image processing; Multimedia communication; Prototypes; Recycling; Training; Multimedia embedded; ecosystem preservation; human machine interface; pattern recognition; trash can;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/ICMEW.2013.6618314
Filename :
6618314
Link To Document :
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