Machine learning based classification of recyclable materials
With the development of technology, Artificial Intelligence (AI) becomes popular and people make use of it to do jobs. But for recyclable materials selection, most of the classification jobs are still done manually. Therefore, this project is aimed to developed a system for classifying materials by...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/72957 |
| _version_ | 1826123524244242432 |
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| author | Huang, Danyi |
| author2 | Wang Dan Wei |
| author_facet | Wang Dan Wei Huang, Danyi |
| author_sort | Huang, Danyi |
| collection | NTU |
| description | With the development of technology, Artificial Intelligence (AI) becomes popular and people make use of it to do jobs. But for recyclable materials selection, most of the classification jobs are still done manually. Therefore, this project is aimed to developed a system for classifying materials by using Machine Learning. This paper introduces TensorFlow which is an open source for Machine Learning. By using it, single object is able to be recognized but not for multiple objects in one image. Because of this limitation on TensorFlow, the idea on the combination of Machine Learning and Open Source Computer Vision Library (OpenCV) image processing is also illustrated in this paper. As a result, most of the materials can be recognized and highlighted in an image. |
| first_indexed | 2024-10-01T06:06:05Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/72957 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:06:05Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/729572023-07-07T16:22:10Z Machine learning based classification of recyclable materials Huang, Danyi Wang Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering With the development of technology, Artificial Intelligence (AI) becomes popular and people make use of it to do jobs. But for recyclable materials selection, most of the classification jobs are still done manually. Therefore, this project is aimed to developed a system for classifying materials by using Machine Learning. This paper introduces TensorFlow which is an open source for Machine Learning. By using it, single object is able to be recognized but not for multiple objects in one image. Because of this limitation on TensorFlow, the idea on the combination of Machine Learning and Open Source Computer Vision Library (OpenCV) image processing is also illustrated in this paper. As a result, most of the materials can be recognized and highlighted in an image. Bachelor of Engineering 2017-12-15T05:25:26Z 2017-12-15T05:25:26Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72957 en Nanyang Technological University 47 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Huang, Danyi Machine learning based classification of recyclable materials |
| title | Machine learning based classification of recyclable materials |
| title_full | Machine learning based classification of recyclable materials |
| title_fullStr | Machine learning based classification of recyclable materials |
| title_full_unstemmed | Machine learning based classification of recyclable materials |
| title_short | Machine learning based classification of recyclable materials |
| title_sort | machine learning based classification of recyclable materials |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/72957 |
| work_keys_str_mv | AT huangdanyi machinelearningbasedclassificationofrecyclablematerials |