Recognition of Plastic Bottles Region Using Improved DeepLab v3+

Factory automation is one solution to the labor shortage.We focus on the sorting of plastic bottles in waste disposal plants and try to automate the process using robotic arms.In this paper, we propose an image analysis method for the recognition of plastic bottles limited to 500ml capacity.The method is semantic segmentation, and the deep learning model is DeepLab v3+.Modifications using ECA Block and Mish function show improvements at the points of misrecognition with the base model.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.gs2-1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Recognition of Plastic Bottles Region Using Improved DeepLab v3+

Takehiro Kamiya, Yusuke Murata
Proceedings of International Conference on Artificial Life and Robotics
Industrial Vision Systems and Defect Detection
article

Recognition of Plastic Bottles Region Using Improved DeepLab v3+

Takehiro Kamiya, Yusuke Murata
article en

Abstract

Factory automation is one solution to the labor shortage.We focus on the sorting of plastic bottles in waste disposal plants and try to automate the process using robotic arms.In this paper, we propose an image analysis method for the recognition of plastic bottles limited to 500ml capacity.The method is semantic segmentation, and the deep learning model is DeepLab v3+.Modifications using ECA Block and Mish function show improvements at the points of misrecognition with the base model.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Kyushu Institute of Technology (JP)
Openalex Percentile: Top 76%
Industrial Vision Systems and Defect Detection
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