Bar Section Image Enhancement and Positioning Method in On-Line Steel Bar Counting and Automatic Separating System

At the separating and inspecting section of steel bar plant, steel bars have to be counted and separated by given number, then to be baled in the next procedure. Nowadays, most plants at home and abroad still count steel bars manually, which can´t meet the requirement of roboticized production. This paper proposes a non-line steel bar counting and automatic separating system based on computer vision. The system gives out the amount of steel bars moving through the counting area, and separates bars by driving separating machine to tacked bar. Further more, this paper discusses some key problems in credible detection such as section oxidation, inter-cover and body disturbance. By template matching and mutative threshold segmentation, we improve the dependability of steel bars´ recognition rate. Long time used in steel bar plant, this method is proved to be authentic and applied, the rate of misdetection has been curtailed to lower than 0.01 percent.