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.
Authors
- Takehiro Kamiya (ORCID: https://orcid.org/0000-0003-3790-7119)
- Yusuke Murata
Institutions
- Kyushu Institute of Technology (JP)
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