Study on the intelligent upper kiln and positioning device for toughened glass insulator
                                                                   RU Jie, LI Jun feng, SHEN Jun min
          （Faculty of Mechanical Engineering & Automation, Zhejiang Sic Tech University, Hangzhou 310018, China）

Abstract: Aiming at safety and inefficiencies in the artificial upper kiln of toughened glass insulator（TGI）, the automatic production equipment of TGI was studied.A set of TGI intelligent positioning of kiln installation was designed. The positioning consists of three parts: mechanical, control and machine vision system. The open source computer vision library was used by image processing and the system framework was built by Microsoft Foundation Classes. This system was realized by the Microsoft Visual Studio 2010. In order to improve the recognition accuracy, one improve sub pixel contour extraction was used. It integrates image capture, process, output and achieves grasp, flip, place of positive and negative products. It can also achieve grasp and place of the bulkhead and bracket. The results indicate that this intelligent device is robust and not affected by the change of external illumination. This method is proposed and effective, so the kiln efficiency is much higher than that of artificial efficiency.It has already been run on the manufacturers online.

Key words: toughened glass insulator; recognition; localization; sub pixel precision; machine vision; contour extraction