An Autonomous Trash Cleaning Robot
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International Journal of Recent Engineering Science (IJRES) |  |
| © 2021 by IJRES Journal | ||
| Volume-8 Issue-1 |
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| Year of Publication : 2021 | ||
| Authors : S. A. Arunmozhi, K. Shivani, S. Sandhiya, P. Keerthani, S. Merlin |
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| DOI : 10.14445/23497157/IJRES-V8I1P103 |
How to Cite?
S. A. Arunmozhi, K. Shivani, S. Sandhiya, P. Keerthani, S. Merlin, "An Autonomous Trash Cleaning Robot," International Journal of Recent Engineering Science, vol. 8, no. 1, pp. 11-13, 2023. Crossref, https://doi.org/10.14445/23497157/IJRES-V8I1P103
Abstract
Object detection is one of the fundamental tasks in computer vision. A common paradigm to address this problem is to train object detectors that operate on a sub-image and apply these detectors in an exhaustive manner across all locations and scales. The exhaustive search through all possible locations and scales poses a computational challenge. The main objective of this work is to design an autonomous trash-cleaning robot that can be operated in a remote place. The primary action in many repetitive tasks is picking up objects and moving them to other locations. This robot was designed as a fetching robot. It was to come with a set of objects that it was designed to detect and segregate into biodegradable and non-biodegradable, and it can collect these items from the environment when there are placed at random. Experimental results show that the proposed work can provide improved results than the existing machine learning algorithms.
Keywords
Autonomous, Deep learning, Image processing, Neural network, Robot.
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