Automated Environmental Stewardship: A Ribbon-Cutting Robot with Machine Vision for Sustainable Operation

Biplov Paneru; Bishwash Paneru; Ramhari Poudyal; Krishna Bikram Shah; Khem Narayan Poudyal; Yam Krishna Poudel

doi:10.35882/teknokes.v17i1.679

Automated Environmental Stewardship: A Ribbon-Cutting Robot with Machine Vision for Sustainable Operation

Biplov Paneru Department of Electronics & Communication Engineering, Nepal Engineering College Pokhara University, Bhaktapur, NEPAL https://orcid.org/0000-0003-2003-0648
Bishwash Paneru Department of Applied Science Engineering, Tribhuvan University, Kathmandu, NEPAL https://orcid.org/0009-0000-4025-2542
Ramhari Poudyal Department of Electrical Engineering, Purbanchal University, Biratnagar, NEPAL https://orcid.org/0000-0003-1853-7765
Krishna Bikram Shah Department of Computer Science and Engineering, Nepal Engineering College Pokhara University, Bhaktapur, NEPAL https://orcid.org/0000-0003-1763-511X
Khem Narayan Poudyal Department of Applied Science Engineering, Tribhuvan University, Kathmandu, NEPAL https://orcid.org/0000-0002-0890-1933
Yam Krishna Poudel Department of Electronics & Communication Engineering, Nepal Engineering College Pokhara University, Bhaktapur, NEPAL https://orcid.org/0000-0002-9438-0395

DOI: http://dx.doi.org/10.35882/teknokes.v17i1.679

Abstract

This paper provides a novel way for automating ribbon-cutting rituals that use a specifically constructed robot with superior computer vision capabilities. The system achieves an outstanding 92% accuracy rate when assessing picture data by using a servo motor for ribbon identification, a motor driver for robot movement control, and nichrome wire for precision cutting. The robot's ability to recognize and interact with the ribbon is greatly improved when it uses a Keras and TensorFlow-based red ribbon identification model which obtained accuracy of about 93% on testing set before deployment in system. Implemented within a Raspberry Pi robot, the method exhibits amazing success in automating ceremonial activities, removing the need for human intervention. This multidisciplinary method assures the precision and speed of ribbon-cutting events, representing a significant step forward in the merging of tradition and technology via the seamless integration of robots and computer vision.

Published

Mar 17, 2024

How to Cite

PANERU, Biplov et al. Automated Environmental Stewardship: A Ribbon-Cutting Robot with Machine Vision for Sustainable Operation. Jurnal Teknokes, [S.l.], v. 17, n. 1, p. 8-19, mar. 2024. ISSN 2407-8964. Available at: <https://teknokes.poltekkesdepkes-sby.ac.id/index.php/Teknokes/article/view/679>. Date accessed: 18 nov. 2024. doi: http://dx.doi.org/10.35882/teknokes.v17i1.679.

Citation Formats

Issue

Vol 17 No 1 (2024): March

Section

Biomedical Engineering

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