Intelligent Alignment Monitoring Method for Tortilla Processing Based on Machine Vision
As people pay more and more attention to a healthy diet, it has become a consensus to eat more coarse grains. The development of its edible value is of great significance for a healthy human diet and has attracted the attention of many scholars and food processing companies. However, due to the diff...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/4/2407 |
| _version_ | 1797622552150933504 |
|---|---|
| author | Yerong Sun Kechuan Yi |
| author_facet | Yerong Sun Kechuan Yi |
| author_sort | Yerong Sun |
| collection | DOAJ |
| description | As people pay more and more attention to a healthy diet, it has become a consensus to eat more coarse grains. The development of its edible value is of great significance for a healthy human diet and has attracted the attention of many scholars and food processing companies. However, due to the differences in protein composition and structure between corn flour and wheat protein, it is difficult to form a network structure during processing, and the viscoelasticity and flexibility are poor. Based on this, this paper proposes a machine vision-based noodle positioning monitoring method to achieve noodle alignment monitoring in the noodle processing process. First, the images are captured by binocular cameras and preprocessed. Further, feature detection and matching algorithms are used to recover the pose information between binocular cameras, and then the recognition targets are matched. Finally, noodle alignment monitoring during noodle processing is achieved. Experiments show that the detection accuracy of the method proposed in this paper is much higher than the traditional manual detection, which can improve the noodle quality and reduce labor costs. |
| first_indexed | 2024-03-11T09:11:56Z |
| format | Article |
| id | doaj.art-547ba83a2cdd442e998200d28234c66c |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:11:56Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-547ba83a2cdd442e998200d28234c66c2023-11-16T18:55:25ZengMDPI AGApplied Sciences2076-34172023-02-01134240710.3390/app13042407Intelligent Alignment Monitoring Method for Tortilla Processing Based on Machine VisionYerong Sun0Kechuan Yi1School of Mechanical Engineering, Anhui Science and Technology University, 9 Donghua East Road, Fengyang 233100, ChinaSchool of Mechanical Engineering, Anhui Science and Technology University, 9 Donghua East Road, Fengyang 233100, ChinaAs people pay more and more attention to a healthy diet, it has become a consensus to eat more coarse grains. The development of its edible value is of great significance for a healthy human diet and has attracted the attention of many scholars and food processing companies. However, due to the differences in protein composition and structure between corn flour and wheat protein, it is difficult to form a network structure during processing, and the viscoelasticity and flexibility are poor. Based on this, this paper proposes a machine vision-based noodle positioning monitoring method to achieve noodle alignment monitoring in the noodle processing process. First, the images are captured by binocular cameras and preprocessed. Further, feature detection and matching algorithms are used to recover the pose information between binocular cameras, and then the recognition targets are matched. Finally, noodle alignment monitoring during noodle processing is achieved. Experiments show that the detection accuracy of the method proposed in this paper is much higher than the traditional manual detection, which can improve the noodle quality and reduce labor costs.https://www.mdpi.com/2076-3417/13/4/2407machine visionbinocular visionintelligent processingtortelliniintelligent monitoringimage processing |
| spellingShingle | Yerong Sun Kechuan Yi Intelligent Alignment Monitoring Method for Tortilla Processing Based on Machine Vision Applied Sciences machine vision binocular vision intelligent processing tortellini intelligent monitoring image processing |
| title | Intelligent Alignment Monitoring Method for Tortilla Processing Based on Machine Vision |
| title_full | Intelligent Alignment Monitoring Method for Tortilla Processing Based on Machine Vision |
| title_fullStr | Intelligent Alignment Monitoring Method for Tortilla Processing Based on Machine Vision |
| title_full_unstemmed | Intelligent Alignment Monitoring Method for Tortilla Processing Based on Machine Vision |
| title_short | Intelligent Alignment Monitoring Method for Tortilla Processing Based on Machine Vision |
| title_sort | intelligent alignment monitoring method for tortilla processing based on machine vision |
| topic | machine vision binocular vision intelligent processing tortellini intelligent monitoring image processing |
| url | https://www.mdpi.com/2076-3417/13/4/2407 |
| work_keys_str_mv | AT yerongsun intelligentalignmentmonitoringmethodfortortillaprocessingbasedonmachinevision AT kechuanyi intelligentalignmentmonitoringmethodfortortillaprocessingbasedonmachinevision |