Post by Omron Industrial Automation Europe
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šš-šÆš®šš²š± š½šæš²šš²š»š°š² š±š²šš²š°šš¶š¼š» šŗš®š±š² šš¶šŗš½š¹š². In this new how-to video, Jamie Steed šš šš š£šæš¼š±šš°š š š®šæšøš²šš¶š»š“ š š®š»š®š“š²šæ explains šµš¼š šš¼ šš²š šš½ šš-šÆš®šš²š± š½šæš²šš²š»š°š² š±š²šš²š°šš¶š¼š» š¼š» ššµš² ššš©š³-šš š¦šŗš®šæš šš®šŗš²šæš®. The first step is to define the inspection criteria. In this example, a workpiece with the yellow part present is treated as OK, while a workpiece where the yellow part is missing is treated as NG. Once the criteria are set, the registered images are used for AI learning, helping the system identify whether the required part is present or absent. š š½šæš®š°šš¶š°š®š¹ š²š š®šŗš½š¹š² š¼š³ šµš¼š ššš©š³-šš šŗš®šøš²š š½šæš²šš²š»š°š² š±š²šš²š°šš¶š¼š» š²š®šš¶š²šæ šš¼ š°š¼š»š³š¶š“ššæš² š®š»š± š®š½š½š¹š š¶š» šæš²š®š¹ š½šæš¼š±šš°šš¶š¼š» š²š»šš¶šæš¼š»šŗš²š»šš. Watch the video to see how it works. Discover more: https://lnkd.in/dyZDZdQp #FHV7AI #AIInspection #QualityInspection #MakeitEASY #OMRON
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