Bottom line challenges? Machine vision reduces waste, improves quality
Machine vision and industrial identification solutions can improve the bottom line in manufacturing, according to Cognex. See images, links to resources.
Natick, MA – Machine vision and industrial identification solutions can improve the bottom line in manufacturing, according to Cognex executive vice president and 25-year machine vision veteran Justin Testa. He recently discussed the topics of optimizing quality and driving down costs in a podcast. Testa, who oversees strategic planning and product development for the Cognex vision systems business unit, says machine vision:
• Helps eliminate waste by detecting defects in the assembly or the process of making a part before further value is added.
• Generally improves part quality by helping to eliminate flaws in material or to error-proof the assembly of a particular part.
Cognex quantifies how machine vision helps the bottom line. This In-Sight Micro puts a complete vision system into a 30 x 30 x 60 mm package.
Machine vision addresses three categories :
1. Guidance – for instance, the use of a vision system to aid a robot to pick a part up from a conveyor belt and perhaps place it into a container.
2. Inspection – presence- or absence-checking, as well as dimensional checking, along with use of higher resolutions cameras, for example, for faster image processing and faster ability to make decisions.
3. Identification – industries are striving to identify parts at the part level and have the part tracked not only in the manufacturing side but once it gets into the supply chain.
Testa also talked about his company’s products, including:
• In-Sight, the company’s flagship self-contained vision system;
• EasyBuilder, a recently-introduced application building environment software;
• VisionView, an operator interface display console;
• DataMan, a powerful, small fixed-mount reader for industrial identification; and
• Checker, a line of products addressing product space between traditional photoelectric sensors and more advanced vision systems.
Testa added that running a vision application on a PC offers more flexibility relative to the type of camera that is connected, and that in some applications a very high-resolution camera is necessary. PCs allow software to run at the fastest process speeds. The company’s product to address this is VisionPro version 5.0, released earlier this year.
Machine vision can be effective in multiple locations in manufacturing, says Cognex.
Regarding applications, Testa noted that there is a need to look at larger areas and inspect very small defects. 3D is another emerging segment, and color is an area that continues to grow. He said that finally the heart and soul of a vision system is the software, and that companies like his will continue to push the technology.
Machine vision system efficiency tool
The company offers a new Cost Savings Advisor to determine the efficiency of vision systems . Based on a user’s anonymous input, the Advisor estimates how much money is being lost during a company’s automation, inspection, or identification application.
Also read the article, Zero defects: Vision system helps achieve zero defects .
Cognex has a transcript and machine vision podcast in the download area of its site.
|Search the online Automation Integrator Guide|
Case Study Database
Get more exposure for your case study by uploading it to the Control Engineering case study database, where end-users can identify relevant solutions and explore what the experts are doing to effectively implement a variety of technology and productivity related projects.
These case studies provide examples of how knowledgeable solution providers have used technology, processes and people to create effective and successful implementations in real-world situations. Case studies can be completed by filling out a simple online form where you can outline the project title, abstract, and full story in 1500 words or less; upload photos, videos and a logo.
Click here to visit the Case Study Database and upload your case study.