Paper
11 February 2002 Scanning machine vision for fiber optic connector inspection
Yair Kipman, David Wolin
Author Affiliations +
Proceedings Volume 4567, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology II; (2002) https://doi.org/10.1117/12.455259
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States
Abstract
Traditional inspection methods for single-mode multi-fiber optical connectors include high magnification imaging equipment, which operate in stationary or stepper mode. The need for high precision combined with the requirement for increased throughput make these systems inefficient in the current production environment. Industry requirements are pushing towards better performance and yield as competition and pressure on the bottom line increase. A new approach, which incorporates a line-scan camera, combined with submicron-resolution optics and linear motion encoders, increases both the precision and the throughput in part inspection. Orifice morphology, as well as both relative and absolute position, can now be characterized with accuracy and repeatability measured in nanometers. Automation of batch processing for inspection enables 100% testing without impeding process cycle times. Connectors can be inspected both prior to assembly and after insertion of the fibers, allowing for part disposition further upstream in the production process. This paper will describe the line-scan-based machine vision inspection system, including considerations for image improvement through both hardware and software modifications. System capabilities and limitations will be discussed.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yair Kipman and David Wolin "Scanning machine vision for fiber optic connector inspection", Proc. SPIE 4567, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology II, (11 February 2002); https://doi.org/10.1117/12.455259
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Cited by 1 scholarly publication.
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KEYWORDS
Inspection

Cameras

Image processing

Imaging systems

Connectors

CCD cameras

Line scan image sensors

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