A Real-Time Inspection System for Industrial Helical Gears
Manufacturing is an imperfect process that requires frequent checks and verifications to ensure products are being produced properly. In many cases, such as visual inspection, these checks can be automated to a certain degree. Incorporating advanced inspection techniques (i.e., via deep learning) in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/20/8541 |
| _version_ | 1827719845030920192 |
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| author | Thomas Idzik Matthew Veres Cole Tarry Medhat Moussa |
| author_facet | Thomas Idzik Matthew Veres Cole Tarry Medhat Moussa |
| author_sort | Thomas Idzik |
| collection | DOAJ |
| description | Manufacturing is an imperfect process that requires frequent checks and verifications to ensure products are being produced properly. In many cases, such as visual inspection, these checks can be automated to a certain degree. Incorporating advanced inspection techniques (i.e., via deep learning) into real-world inspection pipelines requires different mechanical, machine vision, and process-level considerations. In this work, we present an approach that builds upon prior work at an automotive gear facility located in Guelph, Ontario, which is looking to expand its defect detection capabilities. We outline a set of inspection-cell changes, which has led to full-gear surface scanning and inspection at a rate of every 7.5 s, and which is currently able to detect three common types of surface-level defects. |
| first_indexed | 2024-03-10T20:54:28Z |
| format | Article |
| id | doaj.art-2a400d2ddec2418a888eb08c76dd64dc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T20:54:28Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2a400d2ddec2418a888eb08c76dd64dc2023-11-19T18:04:29ZengMDPI AGSensors1424-82202023-10-012320854110.3390/s23208541A Real-Time Inspection System for Industrial Helical GearsThomas Idzik0Matthew Veres1Cole Tarry2Medhat Moussa3School of Engineering, University of Guelph, Guelph, ON N1G 1W2, CanadaSchool of Engineering, University of Guelph, Guelph, ON N1G 1W2, CanadaSchool of Engineering, University of Guelph, Guelph, ON N1G 1W2, CanadaSchool of Engineering, University of Guelph, Guelph, ON N1G 1W2, CanadaManufacturing is an imperfect process that requires frequent checks and verifications to ensure products are being produced properly. In many cases, such as visual inspection, these checks can be automated to a certain degree. Incorporating advanced inspection techniques (i.e., via deep learning) into real-world inspection pipelines requires different mechanical, machine vision, and process-level considerations. In this work, we present an approach that builds upon prior work at an automotive gear facility located in Guelph, Ontario, which is looking to expand its defect detection capabilities. We outline a set of inspection-cell changes, which has led to full-gear surface scanning and inspection at a rate of every 7.5 s, and which is currently able to detect three common types of surface-level defects.https://www.mdpi.com/1424-8220/23/20/8541automotive gear inspectiondeep learningquality control |
| spellingShingle | Thomas Idzik Matthew Veres Cole Tarry Medhat Moussa A Real-Time Inspection System for Industrial Helical Gears Sensors automotive gear inspection deep learning quality control |
| title | A Real-Time Inspection System for Industrial Helical Gears |
| title_full | A Real-Time Inspection System for Industrial Helical Gears |
| title_fullStr | A Real-Time Inspection System for Industrial Helical Gears |
| title_full_unstemmed | A Real-Time Inspection System for Industrial Helical Gears |
| title_short | A Real-Time Inspection System for Industrial Helical Gears |
| title_sort | real time inspection system for industrial helical gears |
| topic | automotive gear inspection deep learning quality control |
| url | https://www.mdpi.com/1424-8220/23/20/8541 |
| work_keys_str_mv | AT thomasidzik arealtimeinspectionsystemforindustrialhelicalgears AT matthewveres arealtimeinspectionsystemforindustrialhelicalgears AT coletarry arealtimeinspectionsystemforindustrialhelicalgears AT medhatmoussa arealtimeinspectionsystemforindustrialhelicalgears AT thomasidzik realtimeinspectionsystemforindustrialhelicalgears AT matthewveres realtimeinspectionsystemforindustrialhelicalgears AT coletarry realtimeinspectionsystemforindustrialhelicalgears AT medhatmoussa realtimeinspectionsystemforindustrialhelicalgears |