A Design of Novel Method for Classification of Waste Materials with its location using Deep Learning and Computer Vision for Smart Cities

Dr. Ashish Oberoi

doi:10.55524/ijircst.2021.9.6.71

Abstract

Waste management is the one of the main problems in all over the globe, presently waste materials are collected and sorted by hand, it is very time consuming and it also requires so much man power. Improper management of waste materials leads to hazards including environmental deterioration, soil contamination, water pollution, and air pollution. To solve this problem, there may be a requirement for an automatic method to aid to recognize the type of waste substances and it’s Position. Today’s technology is so sophisticated due of Artificial Intelligence and Machine Learning. These technologies may be utilized to address various real time issues, this article handles the fundamental challenge of detecting and separating the waste items like plastic, paper and metal with their location. In this article above stated issue is addressed using the Faster RCNN (Region Based Convolutional Neural Networks) model which is very much accurate compared to other algorithms like YOLO (You Look Only Once) and other similar algorithms. The model is trained on a custom dataset gathered on a mobile camera and pre-processed using Label-Img Tool. Data collected with different light conditions and in unique angles. The model is trained using Faster R-CNN identify objects and to obtain locations. This may assist individuals to keep their surroundings tidy and to become conscious of the garbage substances and to identify them. This paper has been precisely recognizing kind of items and places with higher accuracy.

Keywords

Artificial Intelligence, Convolution Neural Network, Faster R-CNN, Machine Learning, Waste Management.

References

Xia H, Jia Z, Li X, Ju L, Sha EHM. Trust prediction and trust-based source routing in mobile ad hoc networks. Ad Hoc Networks. 2013;
Gupta P, Tyagi N. An approach towards big data - A review. In: International Conference on Computing, Communication and Automation, ICCCA 2015. 2015.
Bala L, K. Vatsa A. Quality based Bottom-up-Detection and Prevention Techniques for DDOS in MANET. Int J Comput Appl. 2012;
Sood R, Kalia M. Cloudbank: A secure anonymous banking cloud. In: Communications in Computer and Information Science. 2010.
Manglik E, Sharma P, Rawat P, Tyagi N. Ontology based context synonymy web searching. In: Proceedings of the 2013 International Conference on Information Systems and Computer Networks, ISCON 2013. 2013.
Sharma S, Sharma S. Design of high gain Wang shape microstrip patch antenna for wireless system. In: 2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012. 2012.
Sharma TK. Enhanced butterfly optimization algorithm for reliability optimization problems. J Ambient Intell Humaniz Comput. 2021;
Cao L, Yue Y, Cai Y, Zhang Y. A Novel Coverage Optimization Strategy for Heterogeneous Wireless Sensor Networks Based on Connectivity and Reliability. IEEE Access. 2021;
Recent Research Trends of Plant Disease Detection. Int J Sci Res. 2015;
Dutta C, Singhal N. A cross validated clustering technique to prevent road accidents in VANET. In: Proceedings of the 2018 International Conference on System Modeling and Advancement in Research Trends, SMART 2018. 2018.
Singh P, Tyagi N. Radial Basis Function For Handwritten Devanagari Numeral Recognition. Int J Adv Comput Sci Appl. 2011;
Singh R, Singhal N. An enhanced vehicle parking management using artificial intelligence. In: Proceedings of the 2018 International Conference on System Modeling and Advancement in Research Trends, SMART 2018. 2018.
Awasthi Y, Sharma A, Pandey R. Image Watermarking Using APDCBT in Selected Pixel Blocks. In: Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019. 2020.
Khalifa FM, Saeed MG. Image Watermarking Using All Phase Discrete Cosine Biorthogonal Transform in Selected Pixel Blocks. Polytech J. 2020;
Sharma BK, Agarwal RP, Singh R. An efficient software watermark by equation reordering and FDOS. In: Advances in Intelligent and Soft Computing. 2012.
Goel S, Sinha AK. An improved modeling of mode-choice behavior in urban area using adaptive neural fuzzy inference system. In: 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014. 2014.
Zeiler MD, Fergus R. Visualizing and Understanding Convolutional Networks arXiv:1311.2901v3 [cs.CV] 28 Nov 2013. Comput Vision–ECCV 2014. 2014;
Lecun Y, Bottou L, Bengio Y, Ha P. LeNet. Proc IEEE. 1998;
Krizhevsky A, Sutskever I, Hinton GE. 2012 AlexNet. Adv Neural Inf Process Syst. 2012;
Narayana T. Municipal solid waste management in India: From waste disposal to recovery of resources? Waste Manag. 2009;
Ren S, He K, Girshick R, Sun J. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Trans Pattern Anal Mach Intell. 2017;
Pappu A, Saxena M, Asolekar SR. Solid wastes generation in India and their recycling potential in building materials. Build Environ. 2007;
Jhuria M, Kumar A, Borse R. Image processing for smart farming: Detection of disease and fruit grading. In: 2013 IEEE 2nd International Conference on Image Information Processing, IEEE ICIIP 2013. 2013.
Singh V, Misra AK. Detection of plant leaf diseases using image segmentation and soft computing techniques. Inf Process Agric. 2017;
Jha A, Kumar M. Two wheels differential type odometry for mobile robots. In: Proceedings of 3rd International Conference on Reliability, Infocom Technologies and Optimization. IEEE; 2014. p. 1–5.

Cites this article as

A. Oberoi "A Design of Novel Method for Classification of Waste Materials with its location using Deep Learning and Computer Vision for Smart Cities", International Journal of Innovative Research in Engineering & Management (ijircst), Vol-9, Issue-6, Page No-326-331, 2021. Available from: https://doi.org/10.55524/ijircst.2021.9.6.71

Corresponding Author

Ashish Oberoi

RIMT University, Mandi Gobindgarh, Punjab, India (ashishoberoi@rimt.ac.in)

Download Full Paper

Download PDF

No. of Downloads: 30 | No. of Views: 1077

Real-Time Detection of Data Exfiltration Using Deep Learning in Edge Computing Systems

Shivaraj Yanamandram Kuppuraju, Sharad Shyam Ojha, Mrinal Kumar.

March 2025 - Vol 13, Issue 2
AI-Based Encryption Techniques for Securing Data Transmission in Telecommunication Systems

Shiva Kiran Lingishetty, Chandrashekhar Moharir, Mrinal Kumar.

March 2025 - Vol 13, Issue 2
Leveraging Reinforcement Learning for Efficient Task Scheduling in Multi-Cloud Environments

Prasanna Sankaran, Shiva Kiran Lingishetty, Mrinal Kumar.

March 2025 - Vol 13, Issue 2

A Design of Novel Method for Classification of Waste Materials with its location using Deep Learning and Computer Vision for Smart Cities

Citations

Download Full Paper PDF

Total View 1077

Total Download 30