|
Design and Development of a Workpiece Inspection System Using Artificial Intelligence on the CiRA CORE Platform |
|---|---|
| รหัสดีโอไอ | |
| Creator | Kankamon Phookronghin |
| Title | Design and Development of a Workpiece Inspection System Using Artificial Intelligence on the CiRA CORE Platform |
| Contributor | Preecha Somwang, Den Kogphimai, Kritsada Tasuntia |
| Publisher | Faculty of Industrial Technology, Buriram Rajabhat University |
| Publication Year | 2568 |
| Journal Title | Journal of Industrial Technology Buriram Rajabhat University |
| Journal Vol. | 7 |
| Journal No. | 2 |
| Page no. | 81-94 |
| Keyword | Artificial Intelligence, Detection system, CiRA CORE |
| URL Website | https://ph05.tci-thaijo.org/index.php/bru-idtech-journal/about |
| Website title | https://ph05.tci-thaijo.org/index.php/bru-idtech-journal/issue/archive |
| ISSN | 3088-1749 |
| Abstract | The purposes of this study to develop an automated work piece detection system on a conveyor belt using digital image processing techniques with a camera, fulfilling specific operational conditions. The system design was implemented using the CiRA CORE software, and artificial intelligence (AI) was utilized for object detection. The camera captures image signals, and the system is tested for detecting three types of work pieces: Bolt, Nut, and Washer test results showed that when the work pieces were placed normally, the model achieved a 100% detection rate. However, in cases where work pieces were stacked or overlapped, the model was unable to detect them with 100% accuracy. The detection accuracy is directly correlated with the amount of training data; a larger dataset improves the model's precision. |
