Visual inspection intelligent robot technology for large infusion industry
The application of intelligent technology has realized the transformation of people’s production and lifestyle, and it has also promoted the development of the field of medicine. At present, the intensity of intelligence in the field of medicine is increasing. By using its cash methods and technique...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-02-01
|
| Series: | Open Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/comp-2022-0262 |
| _version_ | 1797848743384449024 |
|---|---|
| author | Liang Qilang Luo Bangshun |
| author_facet | Liang Qilang Luo Bangshun |
| author_sort | Liang Qilang |
| collection | DOAJ |
| description | The application of intelligent technology has realized the transformation of people’s production and lifestyle, and it has also promoted the development of the field of medicine. At present, the intensity of intelligence in the field of medicine is increasing. By using its cash methods and techniques combined with the mechanical field, this article proposes to use visual inspection technology to understand the fusion of the medical field and the mechanical field. It is helpful to analyze and solve objective problems such as low efficiency in current infusion and insufficient rigidity of large infusion plastic bottles. Drawing on the principles and laws of deep learning algorithms and neural networks, the technical research of intelligent robots for visual inspection is carried out to realize the intelligence of infusion robots. In the research accuracy of detection, the detection rate of standard particles higher than 85 µM has reached almost 100%, and the rate of 50 µM standard particles is lower and unstable. The detection effect of the control light bulb control was different, and the detection rate was between 50 and 80%, which was obviously worse than the detection robot effect. Therefore, the current research on the technology of intelligent robots is very important. |
| first_indexed | 2024-04-09T18:32:28Z |
| format | Article |
| id | doaj.art-ed1868fabc0146e3945e0ed34ac50d00 |
| institution | Directory Open Access Journal |
| issn | 2299-1093 |
| language | English |
| last_indexed | 2024-04-09T18:32:28Z |
| publishDate | 2023-02-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Computer Science |
| spelling | doaj.art-ed1868fabc0146e3945e0ed34ac50d002023-04-11T17:07:15ZengDe GruyterOpen Computer Science2299-10932023-02-01131pp. 10653910654010.1515/comp-2022-0262Visual inspection intelligent robot technology for large infusion industryLiang Qilang0Luo Bangshun1College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou 571126, Hainan, ChinaCapital University of Economics and Business, Beijing100000, Beijing, ChinaThe application of intelligent technology has realized the transformation of people’s production and lifestyle, and it has also promoted the development of the field of medicine. At present, the intensity of intelligence in the field of medicine is increasing. By using its cash methods and techniques combined with the mechanical field, this article proposes to use visual inspection technology to understand the fusion of the medical field and the mechanical field. It is helpful to analyze and solve objective problems such as low efficiency in current infusion and insufficient rigidity of large infusion plastic bottles. Drawing on the principles and laws of deep learning algorithms and neural networks, the technical research of intelligent robots for visual inspection is carried out to realize the intelligence of infusion robots. In the research accuracy of detection, the detection rate of standard particles higher than 85 µM has reached almost 100%, and the rate of 50 µM standard particles is lower and unstable. The detection effect of the control light bulb control was different, and the detection rate was between 50 and 80%, which was obviously worse than the detection robot effect. Therefore, the current research on the technology of intelligent robots is very important.https://doi.org/10.1515/comp-2022-0262smart robotvisual detection technologylarge infusion industryimage fusion |
| spellingShingle | Liang Qilang Luo Bangshun Visual inspection intelligent robot technology for large infusion industry Open Computer Science smart robot visual detection technology large infusion industry image fusion |
| title | Visual inspection intelligent robot technology for large infusion industry |
| title_full | Visual inspection intelligent robot technology for large infusion industry |
| title_fullStr | Visual inspection intelligent robot technology for large infusion industry |
| title_full_unstemmed | Visual inspection intelligent robot technology for large infusion industry |
| title_short | Visual inspection intelligent robot technology for large infusion industry |
| title_sort | visual inspection intelligent robot technology for large infusion industry |
| topic | smart robot visual detection technology large infusion industry image fusion |
| url | https://doi.org/10.1515/comp-2022-0262 |
| work_keys_str_mv | AT liangqilang visualinspectionintelligentrobottechnologyforlargeinfusionindustry AT luobangshun visualinspectionintelligentrobottechnologyforlargeinfusionindustry |