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VISION SYSTEMS DESIGN

November 2008 ARTICLES

Vision Systems Design
Volume: 13
Issue: 11
November 2008

Features

Most machine-vision problems can be solved with a commonly used set of image-processing algorithms

Despite the myriad machine-vision software packages now available, there is yet no means to properly benchmark their performance

Technology Trends

Optical products such as aspheric lenses widely used in mobile phones or microlenses for DVD pickup heads are produced in increasing quantities; mass production is now achieved with large numbers of micro-optical elements on single wafers.

Departments

Inside Vision

Industrial cameras are the core component of many machine-vision and image-processing systems.

Snapshots

To improve efficiency and reduce labor costs in it greenhouses, a Dutch horticultural company installed inspection stations based on smart cameras to check the size and health of coconut palms.

New Products

The M-810 electromechanical micropositioning system is a high-force six-axis hexapod.

My View

Technological innovation caused widespread consolidation in the computer graphics industry—is the same thing in store for machine vision?

Worldwide Industrial Camera Directory

Polydec is a leading supplier to the global automotive industry, manufacturing tens of millions of micro-axles every month.

Today’s machine-vision applications demand a great deal of lighting components since the better the image quality, the greater the chance of properly measuring or detecting features within the image.

In the past, verifying the performance of an imaging system required using a number of calibration targets.

Diamond grinding wheels are widely used for precision mechanical component finishing in aerospace and automotive applications.

In automation and handling engineering, feeding of work pieces between different stages of production can be improved by automation.

At the International Conference for Vision Guided Robotics, held in October in Novi, MI, Eric Hershberger, a senior engineer with Applied Manufacturing Technologies (AMT; Orion, MI, USA;) described a prototype vision-based robotics system based on wireless technology.

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