In this paper,a real time computer vision system was developed to detect a glass bottle filled with transfusion solu-tion on a packing line.The theory,the mechanical structure,and the detection algorithm are described.Foreign substances mixed in transfusion solution are distinguished from bottle side wall defects by a relative movement between a resting bottle and the inside moving solution.Foreign objects moving down in the bottle are first detected with background subtracting,where a normal-ized cross correlation is employed to identify two frames between which no moving objects overlap and the static back-ground is obtained through an inter-frame difference.In the second stage, falling objects are recognized through an adapted mean-shift tracker,in which an adaptive searching window is used to only find falling objects.The system was tested on 250-ml transfusion bottles.The result shows that it can effectively detect the small visible foreign substances fulfilling the requirements of the appli-cation.
展开▼
