A Blockchain-Based Recycling Platform Using Image Processing, QR Codes, and IoT System

被引:4
作者
Borandag, Emin [1 ]
机构
[1] Manisa Celal Bayar Univ, Hasan Ferdi Turgutlu Technol Fac, Dept Software Engn, TR-45400 Manisa, Turkiye
关键词
digital economy; carbon emission reduction; blockchain; image processing; QR code; IoT systems; deep learning; SECURE;
D O I
10.3390/su15076116
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The climate crisis is one of the most significant challenges of the twenty-first century. The primary cause of high carbon emissions is industrial production that relies on carbon-based energy sources such as fuel oil, paraffin, coal, and natural gas. One of the effective methods to minimize carbon emissions originating from the use of energy resources is using recycling systems. A blockchain-based recycling platform was developed in this regard, adhering to the basic principles of Industry 4.0, which Robert Bosch GmbH and Henning Kagermann's working group described as an industrial strategy plan at the Hannover Fair in 2013. Concurrently, the recycling platform has set up an infrastructure that combines blockchain, AI, and IoT technologies for recycling objects. An IoT-based smart device was developed to collect recyclable objects. Thanks to the embedded artificial intelligence software and QR code sensor on the device, recyclable objects can be collected in different hoppers. In the laboratory studies, correct object recognition success was achieved at a rate of 98.2%.
引用
收藏
页数:17
相关论文
共 53 条
[1]  
Aggarwal R., 2012, P 1 INT C SEC INT TH, P51, DOI DOI 10.1145/2490428.2490435
[2]   Blockchain Enabled Automatic Reward System in Solid Waste Management [J].
Akram, Shaik Vaseem ;
Alshamrani, Sultan S. ;
Singh, Rajesh ;
Rashid, Mamoon ;
Gehlot, Anita ;
AlGhamdi, Ahmed Saeed ;
Prashar, Deepak .
SECURITY AND COMMUNICATION NETWORKS, 2021, 2021 (2021)
[3]  
Almadhoun R, 2018, I C COMP SYST APPLIC
[4]  
[Anonymous], 2022, WASTE CLASSIFICATION
[5]   Devanagari Handwritten Character Recognition using Transfer Learning with Deep CNN and SVM [J].
Ansari, Mohd Saqib ;
Wasid, Mohammed ;
Rahman, Syed Atiqur .
2022 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA, SIGNAL PROCESSING AND COMMUNICATION TECHNOLOGIES (IMPACT), 2022,
[6]  
Banaeian Far S., 2022, DATA SCI MANAG, V5, P219, DOI [10.1016/j.dsm.2022.09.003, DOI 10.1016/J.DSM.2022.09.003]
[7]   Food packaging from recycled papers: chemical, physical, optical properties and heavy metal migration [J].
Bandara, Rangika ;
Indunil, G. M. .
HELIYON, 2022, 8 (10)
[8]   Material and energy flow analysis for environmental and economic impact assessment of industrial recycling routes for lithium-ion traction batteries [J].
Bloemeke, Steffen ;
Scheller, Christian ;
Cerdas, Felipe ;
Thies, Christian ;
Hachenberger, Rolf ;
Gonter, Mark ;
Herrmann, Christoph ;
Spengler, Thomas S. .
JOURNAL OF CLEANER PRODUCTION, 2022, 377
[9]   Software Fault Prediction Using an RNN-Based Deep Learning Approach and Ensemble Machine Learning Techniques [J].
Borandag, Emin .
APPLIED SCIENCES-BASEL, 2023, 13 (03)
[10]   Development of majority vote ensemble feature selection algorithm augmented with rank allocation to enhance Turkish text categorization [J].
Borandag, Emin ;
Ozcift, Akin ;
Kaygusuz, Yesim .
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2021, 29 (02) :514-530