Abstract
The paper presents a new Automatic Waterjet Positioning Vision System (AWPVS) and investigates components of workpiece positioning accuracy. The main purpose of AWPVS is to precisely identify the position and rotation of a workpiece placed on a waterjet machine table. Two webcams form a basis for the system, and constitute its characteristics. The proposed algorithm comprises various image processing techniques to assure a required identification precision. To validate the PVS identification quality, synthetic images were applied under various conditions. The analysis ascertains dependence of an object detection rate and accuracy on a size of cropping frame. Experimental results of the proposed PVS prototype prove that a combination of the vision algorithm and webcams is an alternative to dedicated expensive industrial vision systems. The two main components of AWPVS uncertainty, a machine component and PSV component are discerned and estimated.
Highlights
Nowadays, most cutting techniques require an operator who manually determines the starting point of the cutting process
This paper is related to a previous work [1], where a new Automatic Waterjet Positioning Vision System (AWPVS) was presented
The results prove that to optimize the performance of PVS, it is recommended to adjust a cropping frame size and the best results are achieved for 1000 px and 1500 px, depending on the noise level
Summary
Most cutting techniques require an operator who manually determines the starting point of the cutting process. A solution to this problem is automation by applying a vision system which shortens the positioning time and improves the cutting process accuracy. An application of vision system in Waterjet (WJ) technology has not yet been investigated extensively. This paper is related to a previous work [1], where a new Automatic Waterjet Positioning Vision System (AWPVS) was presented. The uncertainty of the Positioning Vision System (PVS) is examined and factors of the uncertainty are analyzed. The focus of the paper is on workpiece corner detection and its accuracy analysis under various experimental conditions. The article demonstrates how cropping frame size affects the accuracy of corner localization and the manner of adjusting it to improve the PVS performance. The presented results show a relationship between two components of AWPVS accuracy, mainly waterjet machine. Manuscript received February 8, 2013; accepted May 18, 2013 precision and the accuracy of PVS
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
