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A need for speed

Jon Titus, Contributing Technical Editor -- Test & Measurement World, 2/1/2006

Many inspection systems work well with standard TV-type cameras that operate at 30 frames/s. But as production-line speeds increase, engineers must look to digital cameras that offer higher image rates, often between 60 and 120 frames/s. A change from an analog camera to a high-speed digital camera, however, involves more than substituting one camera for another.

Engineers have often mated analog-output cameras with inexpensive PC-based frame grabbers that digitize video signals. High-speed digital cameras, though, rely on standard digital interfaces such as USB, FireWire, or Gigabit Ethernet that PC vendors supply or that designers can add to a PC at low cost. (The Automated Imaging Association's proposed "GigE Vision" standard will operate at about 800 Mbps, which will accommodate a 2-Mpixel camera at 30 frames/s or a 1-Mpixel camera at 60 frames/s.)

The GE Gigabit Ethernet series of cameras can operate as fast as 200 frames/s with a resolution of 659x493 pixels. Such cameras find use on high-speed production lines and in motion-analysis equipment. Courtesy of Prosilica.  
Another AIA camera-interface standard, Camera Link, requires a compatible frame grabber, available from vision-equipment suppliers. If you have an application that requires more than 60 frames/s from a megapixel camera, Mark Butler, product manager at Dalsa, recommends that you consider Camera Link for real-time imaging, because it allows for data rates as high as 5.4 Gbps.

These digital-communication standards impose new limits on the distances between cameras and host computers, an aspect of system integration that some engineers may overlook at first. "Gigabit Ethernet lets you put a camera about 100 m from a host PC," said Ken McDonald, senior applications engineer at JAI Pulnix. "But Camera Link gives you a 10-m distance between a camera and a PC, USB limits that distance to 15 ft, and FireWire sets a limit of about 10 ft."

The use of high-speed cameras also affects lighting and lens choices. "When a camera operates at 30 frames/s, you have a 33-ms exposure time," McDonald said. "But at 100 frames/s you have only a 10-ms exposure time, so you need more than a threefold increase in light intensity to get the same number of photons to the high-speed camera's sensor."

Also in this issue:
Camera Link and GigE improve image speeds
A lens with a lower f number can help gather more light with its aperture fully open. "But when you open the aperture, you also decrease the depth of focus, or depth of field," explained Marty Furse, CEO of Prosilica. "That means your system may not properly focus on all the features it must inspect." To obtain more light without changing lenses or lens settings, you can employ light sources such as LEDs or xenon flash lamps that produce brief bursts of high-intensity light.

If lighting changes and lens adjustments still don't provide enough light, Furse said you can consider changing the gain of their digital cameras. But a gain increase also may increase noise in a video image. Thus, if you plan to change gain settings, you should specify low-noise cameras—those with a high signal-to-noise ratio.

 

Color for in-line vision

PPT Vision has introduced two intelligent color cameras for in-line applications. The Impact T28, with 1600x1200-pixel resolution, handles high-accuracy color verification, label inspection, and real-time part sorting. The Impact T24 offers 1024x768-pixel resolution. With an onboard image processor and real-time I/O and Ethernet communications, both products are designed to provide 100% quality verification. www.pptvision.com.

Sensors inspect shapes

Designed for inspecting the presence and shape of defined areas, the PresencePlus P4 Area vision sensors from Banner Engineering perform multiple analyses simultaneously at speeds up to 10,000 parts/min at a resolution of 128x100 pixels. The P4 Area 1.3 version operates to 1200 parts/min, offers a resolution of 1280x1024 pixels, and includes gray-scale and blob-analysis tools for rendering pass-fail judgments. www.bannerengineering.com.

Geometric pattern finding

Many vision applications require a pattern-finding tool (PFT), but PFTs based on normalized cross-correlation (NCC) techniques suffer major drawbacks. The white paper "How to Evaluate a Geometric Pattern-Finding Tool," from Dalsa Coreco, describes a geometric PFT that can tolerate many types of image degradation, including rotation, scaling, nonlinear brightness changes, occlusion, and objects touching one another. The paper describes how to select and employ geometric PFTs. www.coreco.com.

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