Machine Vision based Grabbing Objects with Manipulator System Design Article Swipe
YOU?
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· 2021
· Open Access
·
· DOI: https://doi.org/10.4186/ej.2021.25.2.327
In recent years, machine vision technology and robot control technology have attracted lots of attention of the researchers.They provide people with fast and efficient services in many fields, which have an increasingly important impact on the modern manufacturing industry and the inspection industry.In this paper, a mechanical vision-based grab control system based on machine vision is developed and analyzed accordingly.This design employs industrial cameras with Gigabit Ethernet ports, six-degree-of-freedom servo drive robots.The Host computer control software is designed on the development platform provided by Microsoft and processed in machine vision image processing.The software has implemented an image processing algorithm.It aims to combine machine vision, robot control and other technologies to achieve precise positioning, recognition and capture of targets.In the end, the proposed method is displayed in the upper computer accordingly.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.4186/ej.2021.25.2.327
- https://doi.org/10.4186/ej.2021.25.2.327
- OA Status
- diamond
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3200327148
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3200327148Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4186/ej.2021.25.2.327Digital Object Identifier
- Title
-
Machine Vision based Grabbing Objects with Manipulator System DesignWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-02-28Full publication date if available
- Authors
-
Yanting Ni, Xiangjun Yang, Yue Cheng, Zhihong Dong, Mao TangList of authors in order
- Landing page
-
https://doi.org/10.4186/ej.2021.25.2.327Publisher landing page
- PDF URL
-
https://doi.org/10.4186/ej.2021.25.2.327Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.4186/ej.2021.25.2.327Direct OA link when available
- Concepts
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Manipulator (device), Computer science, Computer vision, Machine vision, Artificial intelligence, Engineering, Engineering drawing, RobotTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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8Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.attention | 14 |
| abstract_inverted_index.attracted | 11 |
| abstract_inverted_index.developed | 56 |
| abstract_inverted_index.displayed | 124 |
| abstract_inverted_index.efficient | 23 |
| abstract_inverted_index.important | 32 |
| abstract_inverted_index.processed | 86 |
| abstract_inverted_index.industrial | 62 |
| abstract_inverted_index.inspection | 41 |
| abstract_inverted_index.mechanical | 46 |
| abstract_inverted_index.processing | 97 |
| abstract_inverted_index.robots.The | 71 |
| abstract_inverted_index.targets.In | 117 |
| abstract_inverted_index.technology | 5, 9 |
| abstract_inverted_index.development | 80 |
| abstract_inverted_index.implemented | 94 |
| abstract_inverted_index.industry.In | 42 |
| abstract_inverted_index.recognition | 113 |
| abstract_inverted_index.accordingly. | 129 |
| abstract_inverted_index.algorithm.It | 98 |
| abstract_inverted_index.increasingly | 31 |
| abstract_inverted_index.positioning, | 112 |
| abstract_inverted_index.technologies | 108 |
| abstract_inverted_index.vision-based | 47 |
| abstract_inverted_index.manufacturing | 37 |
| abstract_inverted_index.processing.The | 91 |
| abstract_inverted_index.accordingly.This | 59 |
| abstract_inverted_index.researchers.They | 17 |
| abstract_inverted_index.six-degree-of-freedom | 68 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.11455836 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |