Paper
26 March 1999 In-process optical measurement and data graphing of paper sheets using Sherlock32 and Visual Basic
Author Affiliations +
Proceedings Volume 3645, Real-Time Imaging IV; (1999) https://doi.org/10.1117/12.343789
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
Quality control through real-time process improvement and on-line inspection has become a key element in establishing efficient production lines. Machine vision solutions to these quality control issues are becoming increasingly popular as machine vision systems become more cost effective. This paper discusses how a machine vision system is incorporated into a paper product production line to provide 100 percent inspection and real-time, process control feedback. Seven dimensional measurements are performed on an 8.5 by 11 inch, 3 ring binder divider sheet, to an accuracy within 0.002 inches. The vision system hardware engine is comprised of a standard, multimedia personal computer that is enhanced with two frame grabber boards and Sherlock software from Imaging Technology. Two progressive scan CCD cameras are used to provide high speed image acquisition and adequate image resolution. Using Microsoft Visual Basic, the operator is provided with a single, graphical user interface with real-time graphing of the measurement data. Visual Basic runs in the foreground, controlling the user interface, while Sherlock operates in the background, performing all the machine vision tasks. By viewing the real-time graphs generated in Visual Basic, the operator is able to make process improvements, in real time, at line sped sin excess of 200 sheets per minute.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jon E. Meyer "In-process optical measurement and data graphing of paper sheets using Sherlock32 and Visual Basic", Proc. SPIE 3645, Real-Time Imaging IV, (26 March 1999); https://doi.org/10.1117/12.343789
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KEYWORDS
Cameras

Visualization

Machine vision

Calibration

Inspection

Human-machine interfaces

Process control

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