Automated quality inspection of camera zooming with real-time vision

Abstract

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 methods involve time-consuming manual operation procedures. This study proposes a novel automated camera lens-shake detection method, in which real-time visual tracking of two arbitrary features is used to measure and analyze camera zooming quality. The camera lens-shake detection approach can be used to screen out video cameras for the purpose of quality control. It can be effectively employed to replace conventional testing methods and enhance efficiency and stability of product manufacturing.