As part of the so-called 'Forklift Eye' project, researchers from the Institute of Materials Handling, Material Flow and Logistics (Garching, Germany) are developing a vision-based system to improve the efficiency and performance of fork-lift trucks.

AV&R Vision & Robotics has developed a system that combines visual inspection, robotics, and 3-D profiling techniques to inspect critical components such as those used in the aerospace and medical manufacturing industries.

Coleman Technologies Inc. (CTI; Newtown Square, PA, USA) has developed a linescan-based imaging system that counts a variety of seeds at rates of up to 1000 seeds/sec with a counting accuracy greater than 99%.

Any nostalgic feelings for the past may be better put aside with the understanding that the future will only bring with it more exciting technologies, products, and applications.

Vision Systems Design is hosting a free hour long webcast on May 1 that will provide an in depth look at Version 2.0 of the GigE Vision standard.

With the prevalence of both mobile and embedded technologies, the GenICam technical committee has concluded that the standard should provide support for Arm (Cambridge, UK) processors.

A free-to attend webcast from Vision Systems Design will discuss the issues involved in developing vision-based intelligent transportation systems.

To rapidly detect damage to roads, authorities in the Netherlands have adopted a high speed, 360 degree camera system capable of accurately recording data from up to three lanes simultaneously at speeds up to 130kph (80mph).

Using a 3-D profiling system based on structured laser light, grinding defects as small as 0.02 mm on the base surfaces of skis are being detected.

Target tracking, traffic monitoring, and security and surveillance applications often require following moving objects at high speeds.

In a collaboration between AIDO and technological center AINIA, researchers are studying different types of spectral vision systems for food-related applications such as inspection of fruits and vegetables and assessing quality of meat, cheese, fish, and bread.

A Markerless Motion Capture (MoCap) system developed at the Leibniz University of Hannover, with the help of IMAGO Technologies, uses multiple visible and infrared (IR) cameras to enable 3-D imaging for motion analysis.

There are many advantages to being a journalist reporting on the latest developments in machine vision and image processing.

A spin-out from the National and Kapodistrian University of Athens (Athens, Greece) has developed a vision-based system for tracking the ball in a beach racket game.