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| 研究生： |
侯葉興 Rudi Gunawan |
|---|---|
| 論文名稱： |
Robotic Camera and Illumination System for Automated Optical Inspection Robotic Camera and Illumination System for Automated Optical Inspection |
| 指導教授： |
林其禹
Chyi-Yeu Lin |
| 口試委員: |
劉孟昆
Meng-Kun Liu 林柏廷 Po-Ting Lin |
| 學位類別： |
碩士 Master |
| 系所名稱： |
工程學院 - 機械工程系 Department of Mechanical Engineering |
| 論文出版年： | 2018 |
| 畢業學年度： | 106 |
| 語文別： | 英文 |
| 論文頁數： | 65 |
| 中文關鍵詞： | Automated Optical Inspection (AOI) 、Autonomous Robot Operation Platform 、Programmable Image Capturing System 、Movable Light Source 、Illumination 、Image Screening |
| 外文關鍵詞： | Automated Optical Inspection (AOI), Autonomous Robot Operation Platform, Programmable Image Capturing System, Movable Light Source, Illumination, Image Screening |
| 相關次數： | 點閱：244 下載：1 |
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Inspection is a stage that required by all production process and visual inspection is the most common process. Manual visual inspection is highly constrained with human ability, which makes it more time consuming and more susceptible to error. That’s why human create computed vision assistance in inspection process, which is Automated Optical Inspection (AOI). Nowadays, AOI is greatly limited on single object application. Most AOI line needs several different inspection scenarios to completely inspect the object, which cost more expense. To find perfect inspection conditions for a new different object, researcher does trials manually, which will take too much time. An AOI machine, which can be used in different scenarios, is needed to cover more and more object types. This AOI machine can also help researcher easily find the perfect inspection scenarios for each new object. Designed AOI tool and system will consist of 4 main subsystems, which are: autonomous robot operation platform, programmable image capturing system, movable light sources, and host controller and image screening. Each subsystem is designed, prototyped and tested and analyzed the result. Therefore, in this thesis, AOI tool and system is created with robot arm autonomous operation, 2 different camera sensors and lenses for image capturing system, 3 different light sources type that can be used in various conditions and user interface that control all other subsystem and show result of AOI process.
Inspection is a stage that required by all production process and visual inspection is the most common process. Manual visual inspection is highly constrained with human ability, which makes it more time consuming and more susceptible to error. That’s why human create computed vision assistance in inspection process, which is Automated Optical Inspection (AOI). Nowadays, AOI is greatly limited on single object application. Most AOI line needs several different inspection scenarios to completely inspect the object, which cost more expense. To find perfect inspection conditions for a new different object, researcher does trials manually, which will take too much time. An AOI machine, which can be used in different scenarios, is needed to cover more and more object types. This AOI machine can also help researcher easily find the perfect inspection scenarios for each new object. Designed AOI tool and system will consist of 4 main subsystems, which are: autonomous robot operation platform, programmable image capturing system, movable light sources, and host controller and image screening. Each subsystem is designed, prototyped and tested and analyzed the result. Therefore, in this thesis, AOI tool and system is created with robot arm autonomous operation, 2 different camera sensors and lenses for image capturing system, 3 different light sources type that can be used in various conditions and user interface that control all other subsystem and show result of AOI process.
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