A Novel Vision Based Inspector with Light

Abstract

This paper presents an novel vision based inspector with light to inspect the liquid in bottle. The inspector is designed to capture sequence images of the rotating liquid in the bottle. And the impurities in liquid are inspected by dynamic analysis. The difference method for fusion images is put forward to detect the motion regions in sequence images. In order to detect motion regions precisely, this paper employs a novel segmentation algorithm base on unsupervised learning. This algorithm combines the fuzzy C-means method with fuzzy support vector machines, and can subdivide the image into the impurities and background efficiently. The experiments demonstrate the inspection precision of the liquid inspection system is about 96.4%.