Development of an Accurate and Automated Quality Inspection System for Solder Joints on Aviation Plugs Using Fine-Tuned YOLOv5 Models
The quality inspection of solder joints on aviation plugs is extremely important in modern manufacturing industries. However, this task is still mostly performed by skilled workers after welding operations, posing the problems of subjective judgment and low efficiency. To address these issues, an ac...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/9/5290 |
| _version_ | 1827743255936106496 |
|---|---|
| author | Junwei Sha Junpu Wang Huanran Hu Yongqiang Ye Guili Xu |
| author_facet | Junwei Sha Junpu Wang Huanran Hu Yongqiang Ye Guili Xu |
| author_sort | Junwei Sha |
| collection | DOAJ |
| description | The quality inspection of solder joints on aviation plugs is extremely important in modern manufacturing industries. However, this task is still mostly performed by skilled workers after welding operations, posing the problems of subjective judgment and low efficiency. To address these issues, an accurate and automated detection system using fine-tuned YOLOv5 models is developed in this paper. Firstly, we design an intelligent image acquisition system to obtain the high-resolution image of each solder joint automatically. Then, a two-phase approach is proposed for fast and accurate weld quality detection. In the first phase, a fine-tuned YOLOv5 model is applied to extract the region of interest (ROI), i.e., the row of solder joints to be inspected, within the whole image. With the sliding platform, the ROI is automatically moved to the center of the image to enhance its imaging clarity. Subsequently, another fine-tuned YOLOv5 model takes this adjusted ROI as input and realizes quality assessment. Finally, a concise and easy-to-use GUI has been designed and deployed in real production lines. Experimental results in the actual production line show that the proposed method can achieve a detection accuracy of more than 97.5% with a detection speed of about 0.1 s, which meets the needs of actual production |
| first_indexed | 2024-03-11T04:24:54Z |
| format | Article |
| id | doaj.art-289a7ae4582d42eea3ae1eca401f3802 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T04:24:54Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-289a7ae4582d42eea3ae1eca401f38022023-11-17T22:31:58ZengMDPI AGApplied Sciences2076-34172023-04-01139529010.3390/app13095290Development of an Accurate and Automated Quality Inspection System for Solder Joints on Aviation Plugs Using Fine-Tuned YOLOv5 ModelsJunwei Sha0Junpu Wang1Huanran Hu2Yongqiang Ye3Guili Xu4College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaThe quality inspection of solder joints on aviation plugs is extremely important in modern manufacturing industries. However, this task is still mostly performed by skilled workers after welding operations, posing the problems of subjective judgment and low efficiency. To address these issues, an accurate and automated detection system using fine-tuned YOLOv5 models is developed in this paper. Firstly, we design an intelligent image acquisition system to obtain the high-resolution image of each solder joint automatically. Then, a two-phase approach is proposed for fast and accurate weld quality detection. In the first phase, a fine-tuned YOLOv5 model is applied to extract the region of interest (ROI), i.e., the row of solder joints to be inspected, within the whole image. With the sliding platform, the ROI is automatically moved to the center of the image to enhance its imaging clarity. Subsequently, another fine-tuned YOLOv5 model takes this adjusted ROI as input and realizes quality assessment. Finally, a concise and easy-to-use GUI has been designed and deployed in real production lines. Experimental results in the actual production line show that the proposed method can achieve a detection accuracy of more than 97.5% with a detection speed of about 0.1 s, which meets the needs of actual productionhttps://www.mdpi.com/2076-3417/13/9/5290quality inspection systemsolder jointsaviation plugsfine-tuned YOLOv5 |
| spellingShingle | Junwei Sha Junpu Wang Huanran Hu Yongqiang Ye Guili Xu Development of an Accurate and Automated Quality Inspection System for Solder Joints on Aviation Plugs Using Fine-Tuned YOLOv5 Models Applied Sciences quality inspection system solder joints aviation plugs fine-tuned YOLOv5 |
| title | Development of an Accurate and Automated Quality Inspection System for Solder Joints on Aviation Plugs Using Fine-Tuned YOLOv5 Models |
| title_full | Development of an Accurate and Automated Quality Inspection System for Solder Joints on Aviation Plugs Using Fine-Tuned YOLOv5 Models |
| title_fullStr | Development of an Accurate and Automated Quality Inspection System for Solder Joints on Aviation Plugs Using Fine-Tuned YOLOv5 Models |
| title_full_unstemmed | Development of an Accurate and Automated Quality Inspection System for Solder Joints on Aviation Plugs Using Fine-Tuned YOLOv5 Models |
| title_short | Development of an Accurate and Automated Quality Inspection System for Solder Joints on Aviation Plugs Using Fine-Tuned YOLOv5 Models |
| title_sort | development of an accurate and automated quality inspection system for solder joints on aviation plugs using fine tuned yolov5 models |
| topic | quality inspection system solder joints aviation plugs fine-tuned YOLOv5 |
| url | https://www.mdpi.com/2076-3417/13/9/5290 |
| work_keys_str_mv | AT junweisha developmentofanaccurateandautomatedqualityinspectionsystemforsolderjointsonaviationplugsusingfinetunedyolov5models AT junpuwang developmentofanaccurateandautomatedqualityinspectionsystemforsolderjointsonaviationplugsusingfinetunedyolov5models AT huanranhu developmentofanaccurateandautomatedqualityinspectionsystemforsolderjointsonaviationplugsusingfinetunedyolov5models AT yongqiangye developmentofanaccurateandautomatedqualityinspectionsystemforsolderjointsonaviationplugsusingfinetunedyolov5models AT guilixu developmentofanaccurateandautomatedqualityinspectionsystemforsolderjointsonaviationplugsusingfinetunedyolov5models |