Research and application of uniform material counting method based on machine vision
Manufacturing and agricultural industries use manual methods to count materials. This leads to low accuracy and inefficiency. This paper proposes a secondary counting method that combines main and differential counting. The area-fill identification algorithm is applied to mark the counted materials....
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| Veröffentlicht in: | Optoelectronics letters 2023-02, Vol.19 (2), p.123-128 |
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| container_title | Optoelectronics letters |
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| creator | Xiao, Suhua Qiao, Mingjuan Wang, Zhiyong Wang, Wei Fu, Youzhi Guo, Shusen |
| description | Manufacturing and agricultural industries use manual methods to count materials. This leads to low accuracy and inefficiency. This paper proposes a secondary counting method that combines main and differential counting. The area-fill identification algorithm is applied to mark the counted materials. To verify the effectiveness of the proposed counting algorithm, numbers of countings are conducted for different materials, such as the screws, hole gaskets, beans, jujube, etc. The results show that the counting accuracy reaches 98% for materials with size of 2–20 mm. The method has delivered a high-efficiency and high-accuracy automatic intelligent counting, with a wide range of application prospects and reference value. |
| doi_str_mv | 10.1007/s11801-023-2148-4 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1673-1905 |
| ispartof | Optoelectronics letters, 2023-02, Vol.19 (2), p.123-128 |
| issn | 1673-1905 1993-5013 |
| language | eng |
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| source | SpringerNature Journals; Alma/SFX Local Collection |
| subjects | Algorithms Beans Counting Gaskets Lasers Machine vision Optical Devices Optics Photonics Physics Physics and Astronomy |
| title | Research and application of uniform material counting method based on machine vision |
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