Quality Inspection of Camera Zooming Lens Based on Real-Time Vision

• Main Authors: Chi-Cheng Wang, 王麒丞
• Other Authors: Wen-Chung Chang
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/52qq4m

碩士 === 國立臺北科技大學 === 自動化科技研究所 === 103 === Industrial automated production technologies have been the research focus of many recent studies, comprising the two research streams of automated assembly and automated product testing. Camera lens-shake detection is an effective way to measure the quality of video cameras during zooming. Conventional testing meth-ods involve time-consuming manual operation procedures. The study proposes an automated camera lens-shake detection method, in which real-time image feed-back is used to measure and analyze camera zooming quality. The camera lens-shake detection approach can be used to screen out poorly-manufactured video cameras for the purpose of quality control. It can be effectively employed to re-place conventional testing methods and enhance efficiency and stability of product manufacturing.