Submit Manuscript Now
Current issue Archive Authors Profile
Research Articles Supplement 2 · 2017 · pp. 225–231 · Issue page

DEVELOPMENT AND IMPLEMENTATION OF SOFTWARE SOLUTIONS FOR WEEE IDENTIFICATION, WEIGHING AND SORTING

GI
Gicu-Călin DEAC1
CI
Cicerone Laurentiu POPA2
MI
Mihalache GHINEA3
CO
Costel Emil COTET4
NI
Nicoleta CARUTASU5
1 PhD Student, University POLITEHNICA of Bucharest, Romania
2 Lecturer PhD, University POLITEHNICA of Bucharest, Romania
3 Associate professor PhD, University POLITEHNICA of Bucharest, Romania
4 Professor PhD, University POLITEHNICA of Bucharest, Romania
5 Associate professor PhD, University POLITEHNICA of Bucharest, Romania
Corresponding author: [email protected]
Accepted 28 March 2026
Available Online 15 September 2017
Abstract
INCREASING THE LEVEL OF WASTE ELECTRICAL AND ELECTRONIC EQUIPMENT (WEEE) SEPARATE COLLECTION REPRESENTS A PRIORITY IN THE CONTEXT OF HIGH REQUIREMENTS FOR MATERIAL RESOURCES. NOWADAYS, WEEE COLLECTING SYSTEMS ARE NOT FULLY AUTOMATED, HUMAN OPERATORS ARE STILL USED FOR WEEE IDENTIFICATI ON, WEIGHING, SORTING, TRANSPORTING AND STORING. IN ORDER TO OBTAIN A FULL AUTOMATED WEEE COLLECTING SYSTEM, THE WASTE IDENTIFICATION PART IS THE HARDEST TO ACHIEVE. IN THIS PAPER, SOME PRELIMINARY RESEARCH RESULTS REGARDING A SOFTWARE DEVELOPMENT AND IMP LEMENTATION FOR THE WEEE IDENTIFICATION, WEIGHING AND SORTING ARE PRESENTED. THE MAIN COMPONENTS OF THE WEEE IDENTIFICATION SYSTEM ARE DESCRIBED, SUCH AS: A VISION SYSTEM, A METAL COMPONENTS DETECTION SYSTEM, AN INTEGRATED ELECTRONIC WEIGHING SCALE, A POS PRINTER AND A READING INTERFACE.
Keywords
SOFTWARE DEVELOPMENT WEEE IDENTIFICATION VISION SYSTEM
Full Text
The body of this article is intentionally hidden on the public page. Please use the PDF reader or the PDF download for the complete text.
References
[1]
Arduino; https://www.arduino.cc/
[2]
Caffe Deep Learning Framework http://caffe.berkeleyvision.org/
[3]
Christian Butz; Product Individual Sorting and Identification Systems to organize WEEE obligations, Advances in Life Cycle Engineering for Sustainable Manufacturing Businesses, Springer, 2007
[4]
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich ; Going Deeper with Convolutions - (Submitted on 17 Sep 2014) https://arxiv.org/abs/ 1409.4842.
[5]
Johny Five JavaScript Robotics & IoT Platform http://johnny-five.io/
[6]
Lukas Plosek and Martin Fiser ; Modern approaches to identification of collected WEEE, MendelNet, 2014
[7]
Node.js https://nodejs.org/en/
[8]
Socket.io https://socket.io/
[9]
Xueyi Guo, Yongzhu Zhang and Kaihua Xu ; Metallurgical recovery of metals from Waste Electrical and Electronic Equipment (WEEE) in PRC, Metal Sustenability – Global Challenges, Consequnces and Prospects, John Wiley&Sons, 2016