Automation

On the Show Floor

Better Machine Vision For Tough Pick and Place Tasks

Pleora’s Ed Goffin on tough applications like packaging.

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Machine vision has done a great job for decades in automation applications by using light and contrast to define shape in pick-and-place tasks. In challenging applications like packaging, surface shape, color, reflectivity and texture make accuracy and repeatability difficult, especially at the high speeds common in mass production. AI can be used to error proof tough object recognition tasks without the need for regular operator intervention and the resulting line stoppages. Ed Goffin, senior marketing manager for Pleora, talks about the future of AI and machine learning with Jim Anderton at Automate 2023.  

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Written by

James Anderton

Jim Anderton is the Director of Content for ENGINEERING.com. Mr. Anderton was formerly editor of Canadian Metalworking Magazine and has contributed to a wide range of print and on-line publications, including Design Engineering, Canadian Plastics, Service Station and Garage Management, Autovision, and the National Post. He also brings prior industry experience in quality and part design for a Tier One automotive supplier.