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  • 學位論文

相機扣環精密尺寸檢測儀之開發

The Development of the Precision Dimension Measuring Instrument for the Camera Mount Parts

指導教授 : 林宜弘

摘要


本文研究目的在於運用機器視覺、影像處理等技術進行開發一套自動檢測相機扣環之凸點量測與相機扣環厚度之量測,針對相機扣環凸點之高度量測檢驗出接腳的平面度,物件進行檢測。 此系統的架構可區分為:彈簧定位銷模組、CCD 攝影機、打光系統、伺服馬達定位系統以及自行開發的量測軟體。彈簧定位銷模組接觸相機環的腳位藉此量測腳位高度位置,定位出引腳分散在各個平面度位置,本研究有14點的腳位前6根是量測第一站凸點的位置後8根是量測厚度是第二站的部分, CCD 攝影機擷取影像,並精密的量測出引腳平面度。重現性可達到0.005mm以下,精確度在0.01mm以下,可以達到業界要求。本系統導入伺服馬達定位系統去個別快速定位到第一站與第二站的位子,可以減少檢測時間。

並列摘要


The purpose of this research Machine vision, image processing and other techniques are utilized to inspect objects. is to develop an automatic inspection system to measure the protrusion and thickness of camera buckles. The height of the camera buckle's protrusion is inspected by using a camera to capture and measure the coplanarity of the pins. The architecture of the system can be divided into spring positioning pin module, CCD camera, lighting system, servo motor positioning system, and self-developed measuring software. Spring positioning pin module comes into contact with camera buckle's pins in order to measure the heights of the pins and detect the positions of pins in various coplanarities. The system has 14 pins. The first 6 pins measure the location of the protrusion which is the first station; the latter 8 pins measure the thickness which is the second station. CCD camera captures the images and measures the coplanarity of the pins with high precision. The system can perform with a reproducibility of less than 0.005mm and a precision of less than 0.001mm. Its measurements can satisfy the requirements of the industry. Servo motor positioning system is incorporated in the system to enable it to position quickly to the first station and the second station respectively in order to reduce the inspection time.

參考文獻


12. 黃琮柏,2011,“連結器接腳平面度視覺檢測系統之開發”, 碩士論文,國立屏東科技大學,機械工程系,屏東。
3. G., Olague and R. Mohr, 2002“Optimal camera placement for accurate reconstruction”, Patten Recognition,35,pp.927-944.
4. J. Salvi, X. Armangue, J.Battle, 2002 “A comparative review of camera calibrating methods with accuracy evaluation”, Pattern Recognition 35 ,pp.1617-1635.
1. 當得開發科技股份有限公司提供。(查詢日期2013年9月12日)。http://www.eithertrade.com.tw/cp1.htm
2. 林宜弘,1997,“機器視覺應用技術講義”,139頁

被引用紀錄


余正煌(2016)。2014年新竹市長選舉研究:林智堅勝選的政治社會基礎〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201601231

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