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DOI: 10.14569/IJACSA.2023.0140231
PDF

An Approach to Automatic Garbage Detection Framework Designing using CNN

Author 1: Akhilesh Kumar Sharma
Author 2: Antima Jain
Author 3: Deevesh Chaudhary
Author 4: Shamik Tiwari
Author 5: Hairulnizam Mahdin
Author 6: Zirawani Baharum
Author 7: Shazlyn Milleana Shaharudin
Author 8: Ruhaila Maskat
Author 9: Mohammad Syafwan Arshad

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 2, 2023.

  • Abstract and Keywords
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Abstract: This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. The designed system named Greenlock scans and identifies entities that resemble an accumulation of garbage or a garbage dump in real time and alerts the respective authorities to deal with the issue by locating the point of origin. The entity is labelled as garbage if it passes a certain similarity threshold. ResNet-50 has been used for the training purpose alongside TensorFlow for mathematical operations for the neural network. Combined with a pre-existing CCTV surveillance system, this system has the capability to hugely minimize garbage management costs via the prevention of formation of big dumps. The automatic detection also saves the manpower required in manual surveillance and contributes towards healthy neighborhoods and cleaner cities. This article is also showing the comparison between applied various algorithms such as standard TensorFlow, inception algo and faster-r CNN and Resnet-50, and it has been observed that Resnet-50 performed with better accuracy. The study performed with this study proved to be a stress reliever in terms of the garbage identification and dumping for any country. At the end of the article the comparison chart has been shown.

Keywords: Garbage detection; resnet; tensorflow; CNN

Akhilesh Kumar Sharma, Antima Jain, Deevesh Chaudhary, Shamik Tiwari, Hairulnizam Mahdin, Zirawani Baharum, Shazlyn Milleana Shaharudin, Ruhaila Maskat and Mohammad Syafwan Arshad, “An Approach to Automatic Garbage Detection Framework Designing using CNN” International Journal of Advanced Computer Science and Applications(IJACSA), 14(2), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140231

@article{Sharma2023,
title = {An Approach to Automatic Garbage Detection Framework Designing using CNN},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140231},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140231},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {2},
author = {Akhilesh Kumar Sharma and Antima Jain and Deevesh Chaudhary and Shamik Tiwari and Hairulnizam Mahdin and Zirawani Baharum and Shazlyn Milleana Shaharudin and Ruhaila Maskat and Mohammad Syafwan Arshad}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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