Machinery with a vision

As machine vision technology becomes more reliable and cost-effective, manufacturers will begin finding it easier to integrate into their packaging lines.

he camera vision sensor inspects lids as they are conveyed down the packaging line at Alltrista.
he camera vision sensor inspects lids as they are conveyed down the packaging line at Alltrista.

As machine vision and inspection systems have evolved into faster, more affordable quality- control tools, they’ve become more and more common in the packaging operations of any number of manufacturers. A good example is Alltrista Consumer Products in Muncie, IN, a manufacturer of two-piece home canning closures under the Ball, Kerr, and Bernardin brands. The company uses the Model F160 camera vision sensor from Omron to inspect each lid as it is conveyed down the line so defective lids can be removed before they reach final packaging. The company installed the first eight of its now 18 vision systems in early 2002.

“We were using some older vision systems that employed late 80’s, early 90’s technology,” says Mike Dodson, senior process engineer with Alltrista’s Closure Manufacturing division. “The systems were bulky, becoming obsolete. They required large air conditioning units to cool the electronics. The air-conditioning units frequently went bad and were expensive to maintain. Also, those systems had slower processing times. That became an issue as our production rates increased.

“The Omron F160 offers a lot of functionality in a compact package. We were able to install two systems in the same enclosure that housed one of the old systems, which opened up some floor space and eliminated the need for the air-conditioning units completely. Because our product is not an extremely complicated design to inspect, we have the capability we need from the F160 system at a reasonable cost. A more costly, more complicated system would have been overkill for us.”

After exiting a curing oven, lids are transported to the final packaging area via conveyor, passing through Omron’s F160 system along the way at a speed of about 160 lids/min.

The F160 captures an image of the lid and sends that image to a PLC so it can be compared against defect limits that have been preprogrammed by Alltrista engineers and quality control personnel. After the PLC has determined the good/bad status of the lid, the result is stored and tracked until the lid reaches a reject station, where a signal from the PLC activates a reject mechanism that removes bad lids from the conveyor.

“The F160 menus are very simple to work with,” Dodson says. “We use the defects measurement tool primarily. It’s set upon different regions of the lid. I’m very impressed with the system. It even offers the capability for networking and data collection, which we have not tapped into yet, but will explore in the future.”

Code-reading camera

Also cashing in on the latest developments in machine vision technology is Transitions Lenses, a manufacturer of eyeglass lenses that turn darker when exposed to sunlight. In July, the Pinellas Park, FL, firm began running a new machine vision system that ensures accurate labeling on lens cartons. Old machine vision systems wouldn’t allow the company to automate its entire production line. The Cognex Insight 4001 high-resolution vision sensor reads 2-D code that tells an end-of-line carton labeler which lens is which.

“We’ve switched to a 2-D matrix etching on our lenses,” says Chris Rauscher, project engineer at Transitions Optical. “It’s kind of like a bar code, only it’s square and instead of having vertical lines it consists of a series of little dots. The benefit is that you can get a lot of digits in there from a very small mark called a data matrix. Other numeric vision systems sometimes confuse numbers. This new code should help us ensure that lenses are in the right cartons. The code also contains more information than we were able to include before.”

Information packed into the little code includes which eye the lens is designed for, strength of magnification, and color tint. The Cognex sensor, with a resolution of 1024x768 pixels, is housed in a closed cabinet. This resolution is very important because it allows the company to get an image of the entire lens for identification, not just a portion. The system runs at about 20 lenses/min.

A conveyor takes each lens into the closed sensor cabinet. The Cognex sensor, using software written by Rauscher that utilizes a pattern-finding tool to locate the 2-D code, is suspended at the top of the cabinet. A string of 12 digits is extracted and sent to a Rockwell Allen Bradley PLC. The PLC interprets the code and sends the information via network to a print-and-apply labeler.

The lenses exit the sensing cabinet and are moved into the cartoning machine. Cartons are then conveyed through the labeler, where they receive the proper identifying pressure-sensitive label from the print-and-apply labeling system.

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