An Approach for Smart and cost-Efficient Automated E-Waste Recycling for Small to medium-Sized Devices Using multi-Sensors

被引:2
作者
Abou Baker, Nermeen [1 ]
Handmann, Uwe [1 ]
机构
[1] Ruhr West Univ Appl Sci, Comp Sci Dept, Bottrop, Germany
来源
2022 IEEE SENSORS | 2022年
关键词
Mult-sensor; E-Waste recycling; Infrared sensor; transfer learning;
D O I
10.1109/SENSORS52175.2022.9967195
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Recycling electrical and electronic devices in an automated method can reduce the negative impact on human health and the environment compared with manual dismantling. This approach suggests using multi-sensors by using RGB sensor to classify the devices using a deep learning method and infrared sensor to recognize the internal component of the device. Particularly, the sorting accuracy achieves 98.5% using the state-of-the-art EfficientNet for the tested devices, and infrared images give a significant guide to the main components of the devices. Eventually, this information can be transferred to the next stage of material processing to provide fewer risks and a smarter way to avoid toxic materials.
引用
收藏
页数:4
相关论文
共 18 条
[1]  
Abou Baker Nermeen, 2021, Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°. Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST 372), P422, DOI 10.1007/978-3-030-76063-2_29
[2]   A Transfer Learning Evaluation of Deep Neural Networks for Image Classification [J].
Abou Baker, Nermeen ;
Zengeler, Nico ;
Handmann, Uwe .
MACHINE LEARNING AND KNOWLEDGE EXTRACTION, 2022, 4 (01) :22-41
[3]  
Baker Nermeen Abou, 2021, EAI ENDORSED T SMART, V5, P4
[4]  
Fey J, 2017, PROCEEDINGS OF 2017 IEEE FAR EAST FORUM ON NONDESTRUCTIVE EVALUATION/TESTING: NEW TECHNOLOGY & APPLICATION (IEEE FENDT 2017), P138, DOI 10.1109/FENDT.2017.8584610
[5]  
Fujitsu Laboratories of Europe, EM 20171002 FUJ ART
[6]  
Howard A., 2018, CVPR
[7]  
Hu J, 2018, PROC CVPR IEEE, P7132, DOI [10.1109/CVPR.2018.00745, 10.1109/TPAMI.2019.2913372]
[8]   Multi-Sensor Fusion of Infrared and Electro-Optic Signals for High Resolution Night Images [J].
Huang, Xiaopeng ;
Netravali, Ravi ;
Man, Hong ;
Lawrence, Victor .
SENSORS, 2012, 12 (08) :10326-10338
[9]  
Kleber Florian, 2015, WORLD ACAD SCI ENG T, V9, P656
[10]  
Le Q. V., 2017, arXiv