|
|
|
|
|
Study on Mold Monitoring System based on Improved Position Compensation Technique of Image Processing in Plastic Injection Industry |
|
PP: 1215-1222 |
|
doi:10.18576/amis/100401
|
|
Author(s) |
|
Yao Junfeng,
Huang Zhichao,
Zhang Changming,
Xie Xiaobiao,
Hung Chih-Cheng,
|
|
Abstract |
|
In plastic injection industry, manual adjustment operation mode is applied for operational workers to prevent mold from
sticking together by observing hand-touching approaches, which is characteristic of extremely low efficiency and high labor cost. In
this paper we developed an automatic mold monitoring system which reduces the mold repairing cost and increases the mold life time.
In plastic injection industries, due to the grate shock of injection molding equipment the Charged Coupled Device (CCD), used for
acquiring the images, may shift from its original focused position. This in turn creates a bad pattern matching results and leads to a poor
monitoring result. Therefore we developed an improved compensation algorithm based on similarity measurement techniques (SMT)
to correct the tilted image automatically. The system has been applied in industry for 4 years since 2006. Based on the application
data from the enterprise it is found that our developed automatic mold monitoring system is very promising and it can greatly improve
production efficiency by decreasing the production cost. |
|
|
|
|
|