Fluid Inspector

In many industrial processes, the purity and free of dregs are very important to the quality of the products. For example, when beverage is canned, we need to monitor the density of dregs online at the canning lines. However, this is not an easy task as it sounds like because at the canning line, the bottles are shaking and air bubbles are dominate the the vision views of any conventional vision monitoring equipments. To overcome this problem, BobbleSky use computational cognition technologies. This includes a comprehensive language model of air bubbles and dregs. The resulting system has the ability to monitoring the canning quality online in a poor environment. The screen shot of BubbleSky is as follows. The most important features of BubbleSky are: 

1) Fast response to the appearance of dregs defined by users. 
2) Robustness under  air bubble condensed conditions. 
3) BubbleSky does not use simple morphologic,  size-sensitive or color sensitive image processing algorithms. Instead, computational cognition features were unutilized to distinguish the dregs from air bubbles traveling through  the fluid at variant speeds and in all directions.