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FZ-S/SC 数据表(PDF) 7 Page - Omron Electronics LLC

部件名 FZ-S/SC
功能描述  AI-based defect detection that exceeds the ability of expert inspectors
PDF  54 Pages
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制造商  OMRON [Omron Electronics LLC]
网页  http://www.omron.com/index3.html
标志 OMRON - Omron Electronics LLC

FZ-S/SC 数据表(HTML) 7 Page - Omron Electronics LLC

Back Button FZ-S/SC Datasheet HTML 3Page - Omron Electronics LLC FZ-S/SC Datasheet HTML 4Page - Omron Electronics LLC FZ-S/SC Datasheet HTML 5Page - Omron Electronics LLC FZ-S/SC Datasheet HTML 6Page - Omron Electronics LLC FZ-S/SC Datasheet HTML 7Page - Omron Electronics LLC FZ-S/SC Datasheet HTML 8Page - Omron Electronics LLC FZ-S/SC Datasheet HTML 9Page - Omron Electronics LLC FZ-S/SC Datasheet HTML 10Page - Omron Electronics LLC FZ-S/SC Datasheet HTML 11Page - Omron Electronics LLC Next Button
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Solutions using AI
AI Fine Matching
AI Scratch Detect Filter
Issue
Issue
7
• Uneven colors and dimensional variations within tolerance
• Difficult to identify defects due to complex shapes
• Time-consuming inspection area setting and parameter
adjustment for different shapes of many objects
• Filters and parameters are combined and adjusted
to detect low-contrast defects.
• Low-contrast defects cannot be detected.
Print inspection for product labels
Variations in darkness, thickness,
and positions of printed characters
are acceptable, and only defects
such as chipped characters are detected.
The inspection area is set to the entire label.
Chipped character
Chipped resin
Shape A: foreign material
Ink splatter
Foreign material
Shape B: foreign material and deformation
Chip and contamination inspection for electronic parts
Minor dimensional differences are
permitted, and only defects are
detected in complex-shaped parts.
The inspection area is set to the
entire part surface.
Contamination and shape inspection for resin molded parts
• Reliable detection by learning variations in
colors and dimensions of good products
• Identification of defects in complex-shaped parts
• Quick setting for many objects with different
shapes by simply enclosing inspection areas
• Regardless of material type, color, or size,
defects can be extracted reliably without
previously required definition and adjustment.
Scratch on sandblasted metal
Black scratch on hairline finish
White scratch on shaded hairline finish
Scratch on resin products
Watch use case video.
https://www.fa.omron.co.jp/fh_ai_e
Efficient learning of many objects with different
shapes enables quick setting of conditions for
extracting only defects from complex shapes.
The inspection area is set according to the
shape of the molded part.
AI captures defects with human-like sensitivity
AI identifies good products as well as experienced inspectors



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