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FZ-S/SC 数据表(PDF) 7 Page - Omron Electronics LLC |
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FZ-S/SC 数据表(HTML) 7 Page - Omron Electronics LLC |
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7 / 54 page ![]() 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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