Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)

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Waste Segregation Software

Authors
Santosh Reddy1, B. Tanisha Rani2, *, K. Varshini2
1Associate Professor, Department of Computer Science and Engineering, BNM Institute of Technology, Bengaluru, 560070, India
2Student, Department of Computer Science and Engineering, BNM Institute of Technology, Bengaluru, 560070, India
*Corresponding author. Email: tanisharanib0604@gmail.com
Corresponding Author
B. Tanisha Rani
Available Online 28 May 2026.
DOI
10.2991/978-94-6239-674-6_17How to use a DOI?
Keywords
Waste Segregation; Deep Learning; Image Classification; Real-Time Systems; Sustainability; CNN; Computer Vision
Abstract

Poor waste management is a major environmental issue, especially in cities where production is constantly rising. Traditional manual segregation methods are ineffective and inconsistent. To address this issue a real-time automated waste segregation system that makes use of computer vision and deep learning techniques is presented. Sorting of waste into predetermined classes is enabled by a convolutional neural network (CNN) architecture that learned a structed set a of labelled waste images. The output is then provided through an interactive user interface that uses visual information to guide correct waste disposal protocols. Some of the key technologies employed for image acquisition, preprocessing, and interactive visualization are CVZone and OpenCV. Utilizing webcam functionality, the architecture is designed for execution on standard computer hardware. The evaluation metrics that validate the effectiveness are recall, accuracy, and precision.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
Series
Advances in Engineering Research
Publication Date
28 May 2026
ISBN
978-94-6239-674-6
ISSN
2352-5401
DOI
10.2991/978-94-6239-674-6_17How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Santosh Reddy
AU  - B. Tanisha Rani
AU  - K. Varshini
PY  - 2026
DA  - 2026/05/28
TI  - Waste Segregation Software
BT  - Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
PB  - Atlantis Press
SP  - 196
EP  - 206
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-674-6_17
DO  - 10.2991/978-94-6239-674-6_17
ID  - Reddy2026
ER  -